Dr. Alfredo Núñez Vicencio – List of publications
Profiles:
International journal papers:
[J77] T. Kapoor, H. Wang, A. Stamou, K. El Sayed, A. Núñez, D. Tartakovsky, and R. Dollevoet, “Neural differential equation-based two-stage approach for generalization of beam dynamics”. Accepted, IEEE Transactions on Industrial Informatics. DOI: 10.1109/TII.2024.3507213 (Open Access) (.pdf)
[J76] Y. Zeng, A. Núñez, A. Zoeteman, R. Dollevoet, and Z. Li, “A train-borne laser vibrometer solution based on multi-signal fusion for self-contained railway track monitoring”. Accepted, IEEE Transactions on Industrial Informatics. DOI: 10.1109/TII.2024.3485764 (Open Access) (.pdf)
[J75] S. Unsiwilai, W. Phusakulkajorn, C. Shen, A. Zoeteman, R. Dollevoet, A. Núñez, and Z. Li, “Enhanced vertical railway track quality index with dynamic responses from moving trains”. Heliyon, Volume 10, Issue 19, October 2024, e38670. DOI: 10.1016/j.heliyon.2024.e38670 (Open Access)(.pdf)
[J74] T. Vernaillen, L. Wang, A. Núñez, R. Dollevoet, and Z. Li, “Rail wear rate on the Belgian railway network – a big-data analysis”. International Journal of Rail Transportation, Volume 12, Number 5, Pages: 765-780, 2024. DOI: 10.1080/23248378.2023.2259392 (Open Access) (.pdf)
[J73] S. Unsiwilai, C. Shen, Y. Zeng, L. Wang, A. Núñez, and Z. Li, “Vertical dynamic measurements of a railway transition zone: a case study in Sweden”. Journal of Civil Structural Health Monitoring, Volume 14, Pages: 979-996, 2024. DOI: 10.1007/s13349-024-00766-0 (Open Access)(.pdf)
[J72] Y. Zeng, A. Núñez, and Z. Li, “Railway sleeper vibration measurement by train-borne laser Doppler vibrometer and its speed-dependent characteristics”. Computer-Aided Civil and Infrastructure Engineering. Volume 39, Issue 16, August 2024. DOI: 10.1111/mice.13150 (Open Access) (.pdf)
[J71] T. Kapoor, H. Wang, A. Núñez and R. Dollevoet, “Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations”. Engineering Applications of Artificial Intelligence, Volume 133, Part A, July 2024, 108085, DOI: 10.1016/j.engappai.2024.108085 (Open Access) (.pdf)
[J70] Y. Zeng, A. Núñez, Z. Li, “Measuring transfer functions of tracks structures in a test rig with laser Doppler vibrometer and accelerometers on a moving vehicle”. Mechanical Systems and Signal Processing, Volume 214, May 2024, 111392. DOI: 10.1016/j.ymssp.2024.111392 (Open Access) (.pdf)
[J69] T. Kapoor, H. Wang, A. Núñez, and R. Dollevoet, “Physics-informed neural networks for solving forward and inverse problems in complex beam systems”. IEEE Transactions on Neural Networks and Learning Systems, Volume 35, Issue 5, Pages: 5981-5995, May 2024. DOI: 10.1109/TNNLS.2023.3310585 (Open Access) (.pdf)
[J68] M. Kapetanović, A. Núñez, N. van Oort, and R.M.P. Goverde, “Energy use and greenhouse gas emissions of traction alternatives for regional railways”. Energy Conversion and Management, Volume 303, March 2024, 118202, DOI: 10.1016/j.enconman.2024.118202 (Open Access) (.pdf)
[J67] Z. Li, S. Li, P. Zhang, A. Núñez, and R. Dollevoet, “Mechanism of short pitch corrugation: Initial excitation and frequency selection for consistent initiation and growth”. International Journal of Rail Transportation, Volume 12, Issue 1, Pages: 1-36, 2024. DOI: 10.1080/23248378.2022.2156402 (Open Access) (.pdf)
[J66] R. Morales, L.G. Marin, T. Roje, V. Caquilpan, D. Sáez, and A. Núñez, “Microgrid planning based on computational intelligence methods for rural communities: a case study in Jose Painecura mapuche community, Chile”. Expert Systems with Applications, Volume 235, January 2024, 121179. DOI: 10.1016/j.eswa.2023.121179 (Open Access) (.pdf)
[J65] M. Kapetanović, A. Núñez, N. van Oort, and R.M.P. Goverde, “Energy model of a fuel cell hybrid-electric regional train in passenger transport service and vehicle-to-grid applications”. Journal of Rail Transport Planning & Management, Volume 28, December 2023, 100415. DOI: 10.1016/j.jrtpm.2023.100415 (Open Access) (.pdf)
[J64] (Best Paper Award) W. Phusakulkajorn, A. Núñez, H. Wang, A. Jamshidi, A. Zoeteman, B. Ripke, R. Dollevoet, B. De Schutter and Z. Li, “Artificial intelligence in railway infrastructure: current research, challenges and future opportunities”. Intelligent Transportation Infrastructure, Volume 2, 2023, liad016, DOI: 10.1093/iti/liad016 (Open Access) (.pdf)
[J63] Y. Zeng, C. Shen, A. Núñez, R. Dollevoet, W. Zhang, and Z. Li, “An interpretable method for operational modal analysis in time-frequency representation and its applications to railway sleepers”. Structural Control and Health Monitoring, Volume 2023, 6420772, 2023. DOI: 10.1155/2023/6420772 (Open Access) (.pdf)
[J62] S. Unsiwilai, L. Wang, A. Núñez, and Z. Li, “Multiple-axle box acceleration measurements at railway transition zones”. Measurement, Volume 213, May 2023, 112688. DOI: 10.1016/j.measurement.2023.112688 (Open Access) (.pdf)
[J61] J. Fu, S. Peyghami, A. Núñez, F. Blaabjerg and B. De Schutter, “A tractable failure probability prediction model for predictive maintenance scheduling of large-scale modular-multilevel-converters”. IEEE Transactions on Power Electronics, Volume 38, Issue 5, May 2023, Pages: 6533 - 6544. DOI: 10.1109/TPEL.2023.3241317 (Open Access) (.pdf)
[J60] J. Fu, A. Núñez, and B. De Schutter, “A bidding mechanism for maintenance of generation units considering inter-ISO power exchange”. International Journal of Electrical Power & Energy Systems, Volume 144, January 2023, 108595. DOI: 10.1016/j.ijepes.2022.108595 (Open Access) (.pdf)
[J59] J. Fu, A. Núñez, and B. De Schutter, “Accelerated optimal maintenance scheduling for generation units on a truthful platform”. Energy Reports, Volume 8, November 2022, Pages: 9777-9786. DOI: 10.1016/j.egyr.2022.08.002 (Open Access) (.pdf)
[J58] M. Kapetanović, A. Núñez, N. van Oort, and R.M.P. Goverde, “Analysis of hydrogen-powered propulsion system alternatives for diesel-electric regional trains”. Journal of Rail Transport Planning & Management, Volume 23, September 2022, 100338. DOI: 10.1016/j.jrtpm.2022.100338 (Open Access) (.pdf)
[J57] Y. Zeng, A. Núñez, and Z. Li, “Speckle noise reduction for structural vibration measurement with laser Doppler vibrometer on moving platform”. Mechanical Systems and Signal Processing, Volume 178, October 2022, 109196, DOI: 10.1016/j.ymssp.2022.109196 (Open Access) (.pdf)
[J56] J. Fu, A. Núñez, and B. De Schutter, “Real-time UAV routing strategy for monitoring and inspection for post-disaster restoration of distribution networks”. IEEE Transactions on Industrial Informatics, Volume 18, Issue 4, April 2022, Pages: 2582-2592. DOI: 10.1109/TII.2021.3098506 (Online paper)(.pdf)
[J55] J. Zhong, Z. Liu, C. Yang, H. Wang, S. Gao, and A. Núñez, “Adversarial reconstruction based on tighter oriented localization for catenary insulator defect detection in high-speed railways”. IEEE Transactions on Intelligent Transportation Systems, Volume 23, Issue 2, February 2022, Pages: 1109-1120. DOI: 10.1109/TITS.2020.3020287 (Online paper)(.pdf)
[J54] P. Zhang, S. Li, A. Núñez, and Z. Li, “Vibration modes and wave propagation of the rail under fastening constraint”. Mechanical Systems and Signal Processing, Volume 160, November 2021, 107933, DOI: 10.1016/j.ymssp.2021.107933 (Open Access) (.pdf)
[J53] F. Yang, Z. Wei, X. Sun, C. Shen, and A. Núñez, “Wheel-rail rolling contact behavior induced by both rail surface irregularity and sleeper hanging defects on a high-speed railway line”. Engineering Failure Analysis, Volume 128, October 2021, 105604, DOI: 10.1016/j.engfailanal.2021.105604 (Open Access) (.pdf)
[J52] M. Kapetanović, A. Núñez, N. van Oort, and R.M.P. Goverde, “Reducing fuel consumption and related emissions through optimal sizing of energy storage system for diesel-electric trains”. Applied Energy, Volume 294, July 2021, 117018. DOI: 10.1016/j.apenergy.2021.117018 (Open Access) (.pdf)
[J51] J. Zhong, Z. Liu, H. Wang, W. Liu, C. Yang, Z. Han, and A. Núñez, “A looseness detection method for railway catenary fasteners based on reinforcement learning refined localization”. IEEE Transactions on Instrumentation and Measurements, Volume 70, June 2021, Pages: 1-13. DOI: 10.1109/TIM.2021.3086913 (Online paper)(.pdf)
[J50] J. Fu, A. Núñez, and B. De Schutter, “A short-term preventive maintenance scheduling method for distribution networks with distributed generators and batteries”. IEEE Transactions on Power Systems, Volume 36, Issue 3, May 2021, Pages: 2516-2531. DOI: 10.1109/TPWRS.2020.3037558 (Online paper)(.pdf)
[J49] W. Liu, Z. Liu, Q. Liu, Z. Han, and A. Núñez, “High-precision detection method for structure parameters of catenary cantilever devices using 3D point cloud data”. IEEE Transactions on Instrumentation and Measurement, Volume 70, 3507811, 2021, Pages: 1-11. DOI: 10.1109/TIM.2020.3045801 (Online paper)(.pdf)
[J48] P. Zhang, S. Li, A. Núñez, and Z. Li, “Multimodal dispersive waves in free rail: numerical modelling and experimental validation”. Mechanical Systems and Signal Processing, Volume 150, March 2021, 107305. DOI: 10.1016/j.ymssp.2020.107305. (Open Access)(.pdf)
[J47] H. Wang, A. Núñez, Z. Liu, D. Zhang and R. Dollevoet, “A Bayesian network approach for the condition monitoring of high-speed railway catenary”. IEEE Transactions on Intelligent Transportation Systems, Volume 21, October 2020, Pages: 4037-4051. DOI: 10.1109/TITS.2019.2934346 (Online paper)(.pdf)
[J46] Z. Li, M. Berg, D. Fletcher, P. Meehan, and A. Núñez, “Special issue of Wear on Contact Mechanics 2018”. Wear, July 2020, Article 203362. DOI: 10.1016/j.wear.2020.203362 (Online paper)(.pdf)
[J45] W. Liu, Z. Liu, A. Núñez, and Z. Han, “Unified deep learning architecture for the detection of all catenary support components”. IEEE Access, Volume 8, 2020, Pages: 17049-17059. DOI: 10.1109/ACCESS.2020.2967831 (Open Access)(.pdf)
[J44] Z. Wei, A. Núñez, X. Liu, R. Dollevoet and Z. Li, “Multi-criteria evaluation of wheel/rail degradation at railway crossings”. Tribology International, Volume 144, April 2020, 106107. DOI: 10.1016/j.triboint.2019.106107 (Open Access) (.pdf)
[J43] L.G. Marín, M. Sumner, D. Muñoz-Carpintero, S. Pholboon, D. Kobrich, D. Saez, and A. Núñez, “Hierarchical energy management system for microgrid operation based on robust model predictive control”. Energies 2019, 12(23), 4453, November 2019. DOI: 10.3390/en12234453 (Open Access)(.pdf)
[J42] H. Wang, Z. Liu, A. Núñez, and R. Dollevoet, “Entropy-based local irregularity detection for high-speed railway catenaries with frequent inspections”. IEEE Transactions on Instrumentation and Measurement, Volume 68, Issue 10, October 2019, Pages: 3536-3547. DOI: 10.1109/TIM.2018.2881529 (Online paper)(.pdf)
[J41] Z. Su, A. Jamshidi, A. Núñez, S. Baldi, and B. De Schutter, “Integrated condition-based track maintenance planning and crew scheduling of railway networks”. Transportation Research Part C: Emerging technologies, Volume 105, August 2019, Pages: 359-384. DOI: 10.1016/j.trc.2019.05.045 (Online paper)(.pdf)
[J40] P. Santis, D. Saez, R. Cardenas, and A. Núñez, “Pareto-based modulated-model-predictive control strategy for power converter applications”. Electric Power Systems Research, Volume 171, June 2019, Pages: 158-174. DOI: 10.1016/j.epsr.2019.02.016 (Online paper)(.pdf)
[J39] L. Marin, N. Cruz, D. Saez, M. Sumner and A. Núñez, “Prediction interval methodology based on fuzzy numbers and its extension to fuzzy systems and neural networks”. Expert Systems with Applications, Volume 119, April 2019, Pages: 128-141. DOI: 10.1016/j.eswa.2018.10.043 (Online paper)(.pdf)
[J38] A. Núñez, A. Jamshidi, and H. Wang, “Pareto-based maintenance decisions for regional railways with uncertain weld conditions using the Hilbert spectrum of axle box acceleration”. IEEE Transactions on Industrial Informatics, Volume 15, Issue 3, March 2019, Pages: 1496-1507. DOI: 10.1109/TII.2018.2847736 (Open Access)(.pdf)
[J37] Z. Wei, A. Boogaard, A. Núñez, Z. Li, and R. Dollevoet, “An integrated approach for characterizing the dynamic behaviour of wheel-rail interaction at crossings”. IEEE Transactions on Instrumentation and Measurement, Volume 67, Issue 10, October 2018, Pages: 2332-2344. DOI: 10.1109/TIM.2018.2816800 (Online paper)(.pdf)
[J36] A. Jamshidi, S. Hajizadeh, Z. Su, M. Naeimi, A. Núñez, R. Dollevoet, B. De Schutter and Z. Li, “A decision support approach for condition-based maintenance of rails based on big data analysis”. Transportation Research Part C: Emerging Technologies, Volume 95, October 2018, Pages: 185-206. DOI: 10.1016/j.trc.2018.07.007 (Online paper)(.pdf)
[J35] H. Wang, A. Núñez, Z. Liu, Y. Song, F. Duan, and R. Dollevoet, “Analysis of the evolvement of contact wire wear irregularity in railway catenary based on historical data”. Vehicle System Dynamics, Volume 56, Issue 8, Pages: 1207-1232, 2018. DOI: 10.1080/00423114.2017.1408919 (Online paper)(.pdf)
[J34] Z. Wei, A. Núñez, A. Boogaard, R. Dollevoet, and Z. Li, “Method for evaluating the performance of railway crossings after long-term service”. Tribology International, Volume 123, July 2018, Pages: 337-348. DOI: 10.1016/j.triboint.2018.03.016 (Online paper)(.pdf)
[J33] J. Chen, Z. Liu, H. Wang, A. Núñez, and Z. Han, “Automatic defect detection of fasteners on the catenary support device using deep convolutional neural network”. IEEE Transactions on Instrumentation and Measurement, Volume 67, Issue 2, February 2018, Pages: 257-269. DOI: 10.1109/TIM.2017.2775345 (Online paper)(.pdf) As of July/August 2020, this paper is in the highly cited list, the top 1% of the field Engineering, Data from Essential Science Indicators (ISI-Web of Science).
[J32] Z. Su, A. Jamshidi, A. Núñez, S. Baldi, and B. De Schutter, “Multi-level condition-based maintenance planning for railway infrastructures – A scenario-based chance-constrained approach”. Transportation Research Part C: Emerging technologies, Volume 84, November 2017, Pages: 92-123. DOI: 10.1016/j.trc.2017.08.018 (Online paper)(.pdf)
[J31] Z. Hidayat, R. Babuška, A. Núñez, and B. De Schutter, “Identification of distributed-parameter systems from sparse measurements”. Applied Mathematical Modelling, Volume 51, November 2017, Pages: 605-626. DOI: 10.1016/j.apm.2017.07.001 (Online paper)(.pdf)
[J30] Z. Wei, A. Núñez, Z. Li and R. Dollevoet, “Evaluating degradation at railway crossings using axle box acceleration measurements”. Sensors, 2017 17(10), 2236, September 2017. DOI: 10.3390/s17102236 (Open Access)(.pdf)
[J29] A. Jamshidi, A. Núñez, R. Dollevoet, and Z. Li, “Robust and predictive fuzzy key performance indicators for condition-based treatment of squats in railway infrastructures”. Journal of Infrastructure Systems, Volume 23, Issue 3, September 2017, 04017006. DOI: 10.1061/(ASCE)IS.1943-555X.0000357 (Online paper)(.pdf)
[J28] A. Jamshidi, S. Faghih-Roohi, S. Hajizadeh, A. Núñez, R. Babuška, R. Dollevoet, Z. Li and B. De Schutter, “A big data analysis approach for rail failure risk assessment”. Risk Analysis, Volume 37, Issue 8, August 2017, Pages: 1495-1507. DOI: 10.1111/risa.12836 (Open Access)(.pdf)
[J27] S. Li, Z. Li, A. Núñez, and R. Dollevoet, “New insights into the short pitch corrugation development enigma based on 3D-FE dynamic vehicle-track coupled modelling in frictional rolling contact”. Applied Sciences, 2017 7(8), 807, Aug. 2017. DOI: 10.3390/app7080807, (Open Access)(.pdf)
[J26] M. Oregui, A. Núñez, R. Dollevoet, and Z. Li, “Sensitivity analysis of railpad parameters on vertical railway track dynamics”. ASCE Journal of Engineering Mechanics, Volume 143, Issue 5, May 2017. DOI: 10.1061/(ASCE)EM.1943-7889.0001207 (Open Access)(.pdf)
[J25] J. Llanos, R. Morales, A. Núñez, D. Sáez, M. Lacalle, L.G. Marin, R. Hernandez, and F. Lanas, “Load estimation for microgrid planning based on a self-organizing map methodology”. Applied Soft Computing, Volume 53, April 2017, Pages: 323-335. DOI: 10.1016/j.asoc.2016.12.054 (Online paper)(.pdf)
[J24] M. Oregui, S. Li, A. Núñez, Z. Li, R. Carroll, and R. Dollevoet, “Monitoring bolt tightness of rail joints using axle box acceleration measurements”. Structural Control and Health Monitoring, 24:e1848, February 2017. DOI: 10.1002/stc.1848 (Online paper)(.pdf)
[J23] Z. Liu, H. Wang, R. Dollevoet, Y. Song, A. Núñez, and J. Zhang, “Ensemble EMD-based automatic extraction of the catenary structure wavelength from the pantograph-catenary contact force”. IEEE Transactions on Instrumentation and Measurement, Volume 65, Issue 10, October 2016, Pages: 2272-2283. DOI: 10.1109/TIM.2016.2579360 (Online paper)(.pdf)
[J22] C. Portilla, F. Valencia, J. Espinosa, A. Núñez, and B. De Schutter “Model-based predictive control for bicycling in urban intersections”. Transportation Research Part C: Emerging technologies, Volume 70, September 2016, Pages: 27-41. DOI: 10.1016/j.trc.2015.11.016 (Online paper)(.pdf)
[J21] M. Molodova, M. Oregui, A. Núñez, Z. Li, and R. Dollevoet, “Health condition monitoring of insulated joints based on axle box acceleration measurements”. Engineering Structures, Volume 123, Issue 2016, September 2016, Pages: 225-235. DOI: 10.1016/j.engstruct.2016.05.018 (Online paper) (.pdf)
[J20] C. Ponce, D. Sáez, C. Bordons, and A. Núñez, “Dynamic simulator and model predictive control of an integrated solar combined cycle plant”. Energy, Volume 109, Issue 2016, August 2016, Pages: 974-986. DOI: 10.1016/j.energy.2016.04.129 (Open Access) (.pdf)
[J19] S. Liu, A.D. Sadowska, J.R.D. Frejo, A. Núñez, E. Camacho, H. Hellendoorn, and B. De Schutter “Robust receding horizon parameterized control for multi-class freeway networks: A tractable scenario-based approach”. International Journal of Robust and Nonlinear Control, Volume 26, Issue 6, April 2016, Pages: 1211-1245. DOI: 10.1002/rnc.3500 (Online paper)(.pdf)
[J18] M. Molodova, Z. Li, A. Núñez, and R. Dollevoet, “Parameter study of the axle box acceleration at squats”. Proceedings of the Institution of Mechanical Engineers Part F: Journal of Rail and Rapid Transit. Volume 229, Issue 8, November 2015, Pages: 841-851. DOI: 10.1177/0954409714523583 (Online paper)(.pdf)
[J17] M. Oregui, M. Molodova, A. Núñez, R. Dollevoet, and Z. Li, “Experimental investigation into the condition of insulated rail joints by impact excitation”. Experimental Mechanics. Volume 55, Issue 9, November 2015, Pages: 1597-1612. DOI: 10.1007/s11340-015-0048-7 (Open Access)(.pdf)
[J16] A. Núñez, C. Ocampo-Martinez, J.M. Maestre, and B. De Schutter, “Time-varying scheme for non-centralized model predictive control of large-scale systems”. Mathematical Problems in Engineering. Volume 2015, Article ID 560702, 17 Pages, August 2015. DOI: 10.1155/2015/560702 (Open Access)(.pdf)
[J15] Z. Li, M. Molodova, A. Núñez, and R. Dollevoet, “Improvements in axle box acceleration measurements for the detection of light squats in railway infrastructure”. IEEE Transactions on Industrial Electronics. Volume 62, Issue 7, July 2015, Pages: 4385-4397. DOI:10.1109/TIE.2015.2389761 (Online paper)(.pdf)
[J14] D. Muñoz, D. Sáez, C.E. Cortés, and A. Núñez, “A methodology based on evolutionary algorithms to solve dynamic pickup and delivery problem under hybrid predictive control approach”. Transportation Science. Volume 49, Issue 2, May 2015, Pages: 239-253. DOI: 10.1287/trsc.2014.0569 (Online paper)(.pdf)
[J13] A. Núñez, C.E. Cortés, D. Sáez, B. De Schutter and M. Gendreau, “Multiobjective model predictive control for dynamic pickup and delivery problems”. Control Engineering Practice. Volume 32, November 2014, Pages: 73-86. DOI:10.1016/j.conengprac.2014.07.004 (Online paper)(.pdf)
[J12] M. Molodova, Z. Li, A. Núñez, and R. Dollevoet, “Automatic detection of squats in the railway infrastructures”. IEEE Transactions on Intelligent Transportation Systems. Volume 15, Issue 5, October 2014, Pages: 1980-1990. DOI: 10.1109/TITS.2014.2307955 (Online paper)(.pdf)
[J11] J.R.D. Frejo, A. Núñez, B. De Schutter, and E.F. Camacho, “Hybrid model predictive control for freeway traffic using discrete speed limit signals”. Transportation Research Part C: Emerging technologies, Volume 46, September 2014, Pages: 309-325. DOI: 10.1016/j.trc.2014.06.005 (Online paper)(.pdf)
[J10] M. Molodova, Z. Li, A. Núñez, and R. Dollevoet, “Validation of a finite element model for axle box acceleration at squats in the high frequency range”. Computers & Structures, Volume 141, Issue 1, August 2014, Pages: 84-93. DOI: 10.1016/j.compstruc.2014.05.005 (Online paper)(.pdf)
[J09] C. Ponce, D. Sáez, and A. Núñez, “Fuzzy predictive control strategy for a distributed solar collector plant”. IEEE Latin America Transactions, Volume 12, Issue 4, June 2014, Pages: 626-633. DOI: 10.1109/TLA.2014.6868864 (Online paper)(.pdf in Spanish)
[J08] A. Núñez, B. De Schutter, D. Sáez, and I. Škrjanc, “Hybrid-Fuzzy Modeling and Identification”. Applied Soft Computing, Volume 17, April 2014, Pages: 67-78. DOI: 10.1016/j.asoc.2013.12.011 (Online paper)(.pdf)
[J07] D. Sáez, C.E. Cortés, F. Milla, A. Núñez, A. Tirachini, and M. Riquelme, “Hybrid predictive control strategy for a public transport system with uncertain demand”. Transportmetrica, Volume 8, Issue 1, January 2012, Pages: 61-86. DOI: 10.1080/18128601003615535 (Online paper)(.pdf)
[J06] C.E. Cortés, D. Sáez, F. Milla, A. Núñez, and M. Riquelme, “Hybrid Predictive Control for real-time optimization of Public transport system’ operations based on evolutionary multiobjective optimization”. Transportation Research Part C: Emerging technologies, Volume 18, Issue 5, October 2010, Pages: 757-769. DOI: 10.1016/j.trc.2009.05.016 (Online paper)(.pdf)
[J05] C.E. Cortés, D. Sáez, A. Núñez, and D. Muñoz-Carpintero, “Hybrid Adaptive Predictive Control for a Dynamic Pick-up and Delivery Problem”. Transportation Science, Volume 43, Issue 1, February 2009, Pages: 27-42. DOI: 10.1287/trsc.1080.0251 (Online paper)(.pdf)
[J04] A. Núñez, D. Sáez, S. Oblak, and I. Škrjanc, “Fuzzy-model-based hybrid predictive control”. ISA Transactions, Volume 48, Issue 1, January 2009, Pages: 24-31. DOI: 10.1016/j.isatra.2008.10.007 (Online paper)(.pdf)
[J03] J. Causa, G. Karer, A. Núñez, D. Sáez, I. Škrjanc, and B. Zupančič, “Hybrid Fuzzy Predictive Control based on Genetic Algorithm for the Temperature Control of a Batch Reactor”. Computer & Chemical Engineering, Volume 32, Issue 12, December 2008, Pages: 3254-3263. DOI: 10.1016/j.compchemeng.2008.05.014 (Online paper)(.pdf)
[J02] D. Sáez, C.E. Cortés, and A. Núñez, “Hybrid adaptive predictive control for the multi-vehicle dynamic pick-up and delivery problem based on genetic algorithms and fuzzy clustering”. Computers & Operations Research, Volume 35, Issue 11, November 2008, Pages: 3412-3438. DOI: 10.1016/j.cor.2007.01.025 (Online paper)(.pdf)
[J01] C.E. Cortés, A. Núñez, and D. Sáez, “Hybrid Adaptive Predictive Control for a Dynamic Pickup and Delivery Problem including Traffic Congestion”. International Journal of Adaptive Control and Signal Processing, Volume 22, Issue 2, March 2008, Pages: 103-123. DOI: 10.1002/acs.1005 (Online paper)(.pdf)
Book, and contributions to books:
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[B02] Z. Li and A. Núñez (Editors), Proceedings of the 11th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems (CM 2018), Delft, The Netherlands, September 24-27, 2018. ISBN: 978-94-6186-963-0 | ISSN: 2590-0609. Edition: 2018. (.pdf) |
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[B01] A. Núñez, D. Sáez, and C.E. Cortés, Hybrid predictive control for dynamic transport problems, Springer-Verlag London, Series Advances in Industrial Control, England. Publication Date: October 31, 2012 | ISSN 1430-9491 | ISSN 2193-1577 (electronic) | ISBN 978-1-4471-4350-5 | ISBN 978-1-4471-4351-2 (eBook) | DOI: 10.1007/978-1-4471-4351-2, Edition: 2013. (Amazon) (Springer) |
[BCh02] Z. Su, A. Jamshidi, A. Núñez, S. Baldi, and B. De Schutter, “Distributed Chance-Constrained Model Predictive Control for Condition-based Maintenance Planning for Railway Infrastructures,” in Predictive Maintenance in Dynamic Systems, Advanced Methods, Decision Support Tools and Real-World Applications, (E. Lughofer, and M. Sayed-Mouchaweh, eds.), in Predictive Maintenance in Dynamic Systems, Advanced Methods, Decision Support Tools and Real-World Applications, (E. Lughofer, and M. Sayed-Mouchaweh, eds.), Springer. ISBN 978-3-030-05644-5, pp 533-554, 2019. DOI: 10.1007/978-3-030-05645-2_18 (Online)
[BCh01] F. Valencia, J.D. López, A. Núñez, C. Portilla, L.G. Cortes, J.J. Espinosa, and B. De Schutter, “Congestion Management in Motorways and Urban Networks Through a Bargaining Game Based Coordination Mechanism,” Chapter 1 in Game Theoretic Analysis of Congestion, Safety and Security, Traffic and Transportation Theory, (K. Hausken, and J. Zhuang, eds.), vol. 1 of Series in Reliability Engineering, Springer, ISBN 978-3-319-11673-0, pp. 1-40, 2014. DOI: 10.1007/978-3-319-11674-7_1
Lecture notes:
[LN01] R. Manasevich and A. Núñez, Ordinary differential equations (in Spanish), Lecture Notes of the Course “Differential Equations”, Mathematic Engineering Department (DIM), Universidad de Chile, 327 pp., Mar. 2009. Revised edition. (.pdf)
Conference papers:
[C88] R. Riahi Samani, A. Núñez, and B. De Schutter, "A bidirectional long short term memory approach for infrastructure health monitoring." In Proceedings of the Transportation Research Board 2025 Annual Meeting, TRB 2025, 5-9 January 2025, Washington D.C., USA.
[C87] Y. Zeng, A. Núñez, A. Zoeteman, R. Dollevoet, and Z. Li, "Direct monitoring of in-situ rail fastener vibrations from a moving train with laser Doppler vibrometer." In Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, ITSC2024, 24-27 September, 2024, Edmonton, Canada.
[C86] L. Wang, C. Shen, S. Unsiwilai, W. Phusakulkajorn, Y. Zeng, J. Hendriks, J. Moraal, A. Núñez, A. Zoeteman, R. Dollevoet, and Z. Li, "Sleeper support condition monitoring using axle box acceleration measurement." In Proceedings of the Third International Conference on Rail Transportation (ICRT2024), 7-9 August 2024, Shanghai, China.
[C85] L. Wang, S. Unsiwilai, Y. Zeng, C. Shen, J. Hendriks, J Moraal, A. Zoeterman, A. Núñez, R. Dollevoet, and Z. Li, "Condition monitoring of railway transition zones using acceleration measurements on multiple axle boxes: Case studies in the Netherlands, Sweden, and Norway." In Proceedings of the 10th Transport Research Arena Conference (TRA2024), 15-18 April 2024, Dublin, Ireland.
[C84] W. Phusakulkajorn, J. Hendriks, J. Moraal, C. Shen, Y. Zeng, S. Unsiwilai, B. Bogojevic, M. Asplund, A. Zoeteman, A. Núñez, R. Dollevoet, and Z. Li, "Detection of rail surface defects based on axle box acceleration measurements: A measurement campaign in Sweden." In Proceedings of the 10th Transport Research Arena Conference (TRA2024), 15-18 April 2024, Dublin, Ireland.
[C83] T. Kapoor, A. Chandra, Tartakovsky, H. Wang, A. Núñez, and R. Dollevoet, "Neural oscillators for generalization of physics-informed machine learning". In Proceedings of The 38th Annual AAAI Conference on Artificial Intelligence, February 20-27, 2024, Vancouver, Canada.
[C82] T. Kapoor, A. Chandra, Tartakovsky, H. Wang, A. Núñez, and R. Dollevoet, "Neural oscillators for generalizing parametric PDEs". In Proceedings of the NeurIPS 2023 Workshop: The Symbiosis of Deep Learning and Differential Equations III, December 10-16, 2023, New Orleans, USA.
[C81] Y. Zeng, A. Núñez, Z. Li, "Incorporating modal testing into dynamic load identification from structural vibration measurements". In Proceedings of the 14th International Workshop on Structural Health Monitoring, Stanford University, CA, USA, September 12-14, 2023.
[C80] Y. Zeng, A. Núñez, and Z. Li, "A simulation-based approach for characterizing transfer functions of railway tracks using train-borne laser Doppler vibrometer". In Proceedings of the 10th International Conference on Experimental Vibration Analysis for Civil Engineering Structures, Politecnico di Milano, Italy, August 30 – September 1, 2023.
[C79] T. Kapoor, H. Wang, A. Núñez, and R. Dollevoet, "Physics-informed machine learning for moving load problems". In Proceedings of the Eurodyn 2023, XII International Conference on Structural Dynamics, Delft, The Netherlands, 2-5 July 2023.
[C78] M. Kapetanović, A. Núñez, N. van Oort, and R.M.P. Goverde, “Vehicle-to-Grid Concept for Hydrogen Fuel Cell Hybrid-Electric Regional Trains”. In Proceedings of the 10th International Conference on Railway Operations Modelling and Analysis ICROMA RailBelgrade 2023, April 25-28 2023, Belgrade, Serbia. This paper was selected in the group of best papers of RailBelgrade 2023.
[C77] Y. Zeng, A. Núñez, and Z. Li, "A post-processing methodology for reducing speckle noise in laser Doppler vibrometer measurements". In Proceedings of the International Meeting on Optical Measurement Techniques and Industrial Applications, 28-30 March 2023, Delft, The Netherlands.
[C76] T. Kapoor, H. Wang, A. Núñez, and R. Dollevoet, "Predicting traction return current in electric railway systems through physics-informed neural networks." In Proceedings of the IEEE Symposium Series on Computational Intelligence, 4 to 7 December 2022, Singapore.
[C75] W. Phusakulkajorn, J. Moraal, J. Hendriks, A. Núñez, R. Dollevoet, and Z. Li, "A multiple spiking neural network architecture based on fuzzy intervals for anomaly detection: a case study of rail defects." In Proceedings of the World Congress on Computational Intelligence (WCCI2022), 18-23 July 2022, Padova, Italy.
[C74] M. Kapetanović, N. Bešinović, A. Núñez, N. van Oort, and R.M.P. Goverde, "Optimal network electrification plan for operation of battery-electric multiple unit regional trains." In Proceedings of the 11th Triennial Symposium on Transportation Analysis Conference (TRISTAN2022), June 19-25, 2022, Mauritius Island.
[C73] Y. Zeng, C. Shen, A. Núñez, R. Dollevoet, and Z. Li, "A preliminary feasibility study on operational modal identification of in-situ railway sleeper." Proceedings of the 10th European Workshop on Structural Health Monitoring, Palermo, Italy, July 4-7, 2022.
[C72] M. Kapetanović, A. Núñez, N. van Oort, and R.M.P. Goverde, "Life cycle assessment of alternative traction options for non-electrified regional railway lines." Proceedings of the World Congress on Railway Research 2022, June 6-10, 2022, Birmingham, United Kingdom.
[C71] H. Wang, J. Hendriks, R. Dollevoet, A. Zoeteman, and A. Núñez "Intelligent data fusion for anomaly detection in Dutch railway catenary condition monitoring." Proceedings of the World Congress on Railway Research 2022, June 6-10, 2022, Birmingham, United Kingdom.
[C70] M. Kapetanović, A. Núñez, N. van Oort, and R.M.P. Goverde, "Analysis of hydrogen-powered propulsion system alternatives for diesel-electric multiple unit regional trains." Proceedings of the 9th International Conference on Railway Operations Modelling and Analysis, RailBeijing2021, November 3-7, 2021, Beijing, China. This paper was selected in the group of best papers of RailBeijing 2021.
[C69] J. Zhong, Z. Liu, H. Wang, W. Liu, C. Yang, and A. Núñez, "Action-driven reinforcement learning for improving localization of brace sleeve in railway catenary." In Proceedings of the International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence, October 15-17, 2020, Xian, China.
[C68] W. Liu, Z. Liu and A. Núñez, “Virtual reality and convolutional neural networks for railway catenary support components monitoring”. Proceedings of the 22th IEEE International Conference on Intelligent Transportation Systems, Auckland, New Zealand, October 27-30, 2019. DOI: 10.1109/ITSC.2019.8917061
[C67] M. Kapetanović, N. van Oort, A. Núñez, R.M.P. Goverde, “Sustainability of railway passenger services – A review of aspects, issues, contributions and challenges of life cycle emissions”. Proceedings of 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), RailNorrköping2019, June 17-20 , 2019, Norrköping, Sweden.
[C66] M. Faris, A. Núñez, Z. Su, and B. De Schutter, “Distributed optimization for railway track maintenance operations planning”. Proceedings of the 21th IEEE International Conference on Intelligent Transportation Systems, Maui, Hawaii, USA, November 4-7, 2018. DOI: 10.1109/ITSC.2018.8569335
[C65] R. Schalk, A. Zoeteman, and A. Núñez, “Lessons learned from data analytics applied to the track maintenance of the Dutch high speed line”. Proceedings of the Sixth Symposium on Life-Cycle Civil Engineering (IALCCE 2018), Ghent, Belgium, October 28-31, 2018.
[C64] A. Núñez, A. Jamshidi, H. Wang, J. Hendriks, I. Ramirez, J. Moraal, R. Dollevoet, and Z. Li, “A condition-based maintenance methodology for rails in regional railway networks using evolutionary multiobjective optimization: Case study line Braşov to Zărneşti in Romania”. Proceedings of the IEEE World Congress on Computational Intelligence, IEEE WCCI 2018, 2018 Congress on Evolutionary Computation (IEEE CEC 2018), Rio de Janeiro, Brazil, 8-13 July, 2018. DOI: 10.1109/CEC.2018.8477842
[C63] A. Núñez, J. Hendriks, J. Moraal, I. Ramirez, R. Dollevoet, and Z. Li, “Rail condition monitoring using axle box acceleration measurements: defect detection in the Netherlands and Romania”. Proceedings of 2018 World Transport Convention (WTC 2018), Beijing, China, June 18-21, 2018.
[C62] W. Liu, Z. Liu, A. Núñez, L. Wang, K. Liu, Y. Lyu, and H. Wang, “Multi-objective performance evaluation of the detection of catenary support components using DCNNs”. Proceedings of 15th IFAC Symposium on Control in Transportation Systems (CTS 2018), Savona, Italy, June 6-8, 2018. DOI: 10.1016/j.ifacol.2018.07.017
[C61] W. Xie, A. Núñez, R. Maas, and Z. Li, “Decision support tool based on multi-source data analysis for the tram wheel-rail interface”. Proceedings of 15th IFAC Symposium on Control in Transportation Systems (CTS 2018), Savona, Italy, June 6-8, 2018. DOI: 10.1016/j.ifacol.2018.07.020
[C60] A. Núñez, T. Popa, L.E. Anghel, J. Hendriks, J. Moraal, L. Dorin-Buretea, J. Paragreen, B. Miron, D. Gheorghe, M. Campean, R. Dollevoet, and Z. Li, “Smart technology solutions for the NeTIRail-INFRA case study lines: Axle box acceleration and ultra-low cost smartphones”. Proceedings of 7th Transport Research Arena (TRA 2018), Vienna, Austria, April 16-19, 2018. DOI: 10.5281/zenodo.1440978
[C59] V. Caquilpan, D. Sáez, R. Hernández, J. Llanos, T. Roje, and A. Núñez, “Load estimation based on self-organizing maps and bayesian networks for microgrid design in rural zones”. Proceedings of the 2017 Conference on Innovative Smart Grid Technologies Latin America (ISGT-LA 2017), Quito, Ecuador, September 20-22, 2017. DOI: 10.1109/ISGT-LA.2017.8126709
[C58] H. Wang, A. Núñez, Z. Liu, J. Chen, and R. Dollevoet, “Intelligent condition monitoring of railway catenary systems: A Bayesian Network approach”. Proceedings of the 25th International Symposium on Dynamics of Vehicles on Roads and Tracks, Rockhampton, Queensland, Australia, August 14-18, 2017.
[C57] A. Jamshidi, S. Hajizadeh, M. Naeimi, A. Núñez, and Z. Li, “Influencing factors for condition-based maintenance in railway tracks using knowledge-based approach”. Proceedings of the First International Conference on Rail Transportation (ICRT2017), Chengdu, China, July 10-12, 2017.
[C56] R. Schalk, A. Núñez, A. Zoeteman, and R. Wolfert, “Data analytics for the study of RCF damages on the Dutch High Speed Line”. Proceedings of the First International Conference on Rail Transportation (ICRT2017), Chengdu, China, July 10-12, 2017.
[C55] R. Schalk, A. Zoeteman, A. Núñez and R. Wolfert, “Application of a bottom-up approach for the analysis of rolling contact fatigue in the Dutch high speed line”. 14th International Conference & Exhibition Railway Engineering 2017, Edinburgh, Scotland, Jun. 21-22, 2017.
[C54] H. Wang, Z. Liu, A. Núñez, and R. Dollevoet, “Identification of the catenary structure wavelength using pantograph head acceleration measurements”, Proceedings of the 2017 IEEE International Instrumentation and Measurement Technology Conference, I2MTC, Torino, Italy, May 22-25, 2017. DOI: 10.1109/I2MTC.2017.7969731
[C53] Z. Su, A. Núñez, S. Baldi, and B. De Schutter, “Model predictive control for rail condition-based maintenance: A multilevel approach”. Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, Rio de Janeiro, Brazil, November 1-4, 2016, pp. 354-359. DOI: 10.1109/ITSC.2016.7795579
[C52] A. Núñez, J. Hendriks, Z. Li, and R. Dollevoet, “Educación e investigación en Ingeniería Ferroviaria: tren de mediciones CTO, una sala de clases sobre rieles (in Spanish)”. Proceedings of the Conference Encuentros 2016, Barcelona, Spain, October 26-28, 2016.
[C51] S. Faghih-Roohi, S. Hajizadeh, A. Núñez, R. Babuška, and B. De Schutter, “A deep learning approach for detection of rail defects”. Proceedings of the IEEE World Congress on Computational Intelligence, IEEE WCCI 2016, 2016 International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, 25-29 July, 2016, pp. 2584-2589. DOI: 10.1109/IJCNN.2016.7727522
[C50] R. Morales, D. Sáez, L.G. Marin, and A. Núñez, “Microgrid planning based on fuzzy interval prediction models of renewable resources”. Proceedings of the IEEE World Congress on Computational Intelligence, IEEE WCCI 2016, 2016 IEEE International Conference on Fuzzy Systems FUZZ-IEEE, Vancouver, Canada, 25-29 July, 2016, pp. 336-343. DOI: 10.1109/FUZZ-IEEE.2016.7737706
[C49] C.E. Cortés, R. Claveria, D. Sáez, F. Valencia, F. Milla, and A. Núñez, “A distributed predictive control strategy for a two-route public transport system with a transfer station”. Proceedings of the 9th Triennial Symposium on Transportation Analysis, TRISTAN IX, Oranjestad, Aruba, 13-17 June, 2016.
[C48] A. Jamshidi, S. Faghih-Roohi, A. Núñez, R. Babuška, B. De Schutter, R. Dollevoet and Z. Li, “Probabilistic defect-based risk assessment approach for rail failures in railway infrastructure”. Proceedings of the 14th IFAC Symposium on Control in Transportation Systems, CTS 2016, Istanbul, Turkey, 18-20 May, 2016. IFAC-PapersOnLine 49(3), pp. 73-77 DOI: 10.1016/j.ifacol.2016.07.013
[C47] S. Hajizadeh, A. Núñez, and D. Tax, “Semi-supervised rail defect detection from imbalanced image data”. Proceedings of the 14th IFAC Symposium on Control in Transportation Systems, CTS 2016, Istanbul, Turkey, 18-20 May, 2016. IFAC-PapersOnLine 49(3), pp. 78-83 DOI: 10.1016/j.ifacol.2016.07.014
[C46] A. Jamshidi, A. Núñez, M. Molodova, Z. Li and R. Dollevoet, “Key performance indicators using an interval based fuzzy prediction modeling to treat squats in railway infrastructures”. Proceedings of the Third International Conference on Railway Technology: Research, Development and Maintenance, RAILWAYS2016, Cagliari, Sardina, Italy, 5-8 April, 2016, Paper 159. DOI: 10.4203/ccp.110.159
[C45] F. Veltman, L. Marin, D. Sáez, L. Gutierrez and A. Núñez, “Prediction interval modelling tuned by an improved teaching learning algorithm applied to load forecasting in microgrids”. Proceedings of the IEEE Symposium Series on Computational Intelligence, IEEE SSCI 2015, Cape Town, South Africa, December 7-10, pp. 651-658, 2015. DOI: 10.1109/SSCI.2015.100
[C44] Z. Su, A. Núñez, A. Jamshidi, S. Baldi, Z. Li, R. Dollevoet, and B. De Schutter, “Model predictive control for maintenance operations planning of railway infrastructures”. Proceedings of the 6th International Conference on Computational Logistics, Delft, The Netherlands, September 23-25, 2015. DOI: 10.1007/978-3-319-24264-4_46
[C43] F. Acquaviva, A. Núñez, D. Di Paola, A. Rizzo and B. De Schutter, “Customer-oriented optimal vehicle assignment in mobility-on-demand systems”. Proceedings of the 18th IEEE International Conference on Intelligent Transportation Systems, Canary Island, Spain, September 15-18, 2015. DOI: 10.1109/ITSC.2015.458
[C42] J. Hendriks, A. Núñez, and Z. Li, “Health condition monitoring based on ABA measurements for high speed railway tracks”. Proceedings of the 10th International Workshop on Structural Health Monitoring, Stanford CA, USA, September 1-3, 2015.
[C41] A. Jamshidi, A. Núñez, Z. Li. R. Dollevoet, “Fuzzy maintenance decision support for treating squats in railway infrastructures”. Proceedings of the Joint Rail Conference 2015, JRC2015, San Jose CA, USA, 23-26 March, 2015. DOI: 10.1115/JRC2015-5676
[C40] S. Li, A. Núñez, Z. Li. R. Dollevoet, “Automated detection of corrugation: Preliminary results in the Dutch network using axle box acceleration measurements”. Proceedings of the Joint Rail Conference 2015, JRC2015, San Jose CA, USA, 23-26 March, 2015. DOI: 10.1115/JRC2015-5730
[C39] A. Jamshidi, A. Núñez, Z. Li, and R. Dollevoet, “Maintenance decision indicators for treating squats in railway infrastructure”. Proceedings of the 94th Annual Meeting of the Transportation Research Board, Washington D.C., USA, January 11-15, 2015.
[C38] A. Núñez, J. Hendriks, Z. Li, B. De Schutter, R. Dollevoet, "Facilitating maintenance decisions on the Dutch railways using Big Data: The ABA case study". Proceedings of the 2014 IEEE BigData Conference, Workshop on Large Data Analytics in Transportation and Railway Infrastructure, Washington DC, USA, October 27-30, pp. 48-53, 2014. DOI: 10.1109/BigData.2014.7004431
[C37] M. Molodova, M. Oregui, A. Núñez, Z. Li, J. Moraal, and R. Dollevoet, “Axle box acceleration for health monitoring of insulated joints: A case study in The Netherlands”. Proceedings of the 17th International IEEE Annual Conference on Intelligent Transportation Systems, ITSC’14, Qingdao, China, 8-11 October, pp. 822-827, 2014. DOI: 10.1109/ITSC.2014.6957791
[C36] S. Liu, J.R.D. Frejo, A. Núñez, B. De Schutter, A. Sodowska, H. Hellendoorn, and F. Camacho, “Tractable robust predictive control approaches for freeway traffic networks”. Proceedings of the 17th International IEEE Annual Conference on Intelligent Transportation Systems, ITSC’14, Qingdao, China, 8-11 October, pp. 1857-1862, 2014. DOI: 10.1109/ITSC.2014.6957963
[C35] A. Núñez, M. Oregui, and M. Molodova, “An expensive optimization based computational intelligence method for railway track parameter identification”. Proceedings of the Twelfth International Conference on Computational Structures Technology, CST2014, Naples, Italy, 2-5 September, Paper 173, 2014. DOI: 10.4203/ccp.106.173
[C34] M. Molodova, M. Oregui, A. Núñez, Z. Li, and R. Dollevoet, “Automated monitoring system for insulated joints: preliminary results using axle box acceleration measurements”. Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance, RAILWAYS2014, Ajaccio, Corsica, France, 8-11 April, 2014, Paper 85. DOI: 10.4203/ccp.104.85
[C33] Z. Li, M. Molodova, A. Núñez, and R. Dollevoet, “A novel on-train measurement system for early detection of squats and other track defects”. Proceedings of the 10th World Congress on Railway Research, WCRR2013, Sydney, Australia, 25-28 November, 2013.
[C32] M. Molodova, Z. Li, A. Núñez, and R. Dollevoet, “Monitoring the railway infrastructure: Detection of surface defects using wavelets”. Proceedings of the 16th International IEEE Annual Conference on Intelligent Transportation Systems, ITSC’13, The Hague, The Netherlands, 6-9 October, pp. 1316-1321, 2013. DOI: 10.1109/ITSC.2013.6728413
[C31] A. Núñez, C. Ocampo-Martinez, B. De Schutter, F. Valencia, J. Lopez, and J.J. Espinosa, “A multiobjective-based switching topology for hierarchical model predictive control applied to a hydro-power valley”. Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, Chengdu, China, 2-4 September, pp. 534-539, 2013. DOI: 10.3182/20130902-3-CN-3020.00042
[C30] Z. Li, M. Molodova, A. Núñez and R. Dollevoet, “A new methodology for monitoring high frequency wheel-rail interaction”. Proceedings of the International Symposium on Dynamics of Vehicle on Roads and Tracks, IAVSD2013, Qingdao, China, 19-23 August, 2013.
[C29] J.R.D. Frejo, A. Núñez, B. De Schutter, and E.F. Camacho, “Model predictive control for freeway traffic using discrete variable speed limit signals”. Proceedings of the European Control Conference 2013, ECC’2013, Zurich, Switzerland, July 17-19, pp. 4033-4038, 2013.
[C28] F. Ávila, D. Sáez, G. Jiménez-Estévez, Lorenzo Reyes and A. Núñez, “Fuzzy demand forecasting in a predictive control strategy for a renewable-energy based microgrid”. Proceedings of the European Control Conference 2013, ECC’2013, Zurich, Switzerland, July 17-19, pp. 2020-2025, 2013.
[C27] C.R. Portilla, L.G. Cortes, F. Valencia, J.D. López, J.J. Espinosa, A. Núñez, and B. De Schutter, “Decentralized model predictive control for an urban traffic network”. Eighth Triennial Symposium on Transportation Analysis, TRISTAN VIII, San Pedro, Chile, June 9-14, 2013.
[C26] A. Núñez, B. De Schutter, C.R. Portilla, F. Valencia, and J.J. Espinosa, “Including bicycling in a multimodal urban street intersection: a model-based predictive control approach”. Eighth Triennial Symposium on Transportation Analysis, TRISTAN VIII, San Pedro, Chile, June 9-14, 2013.
[C25] A. Núñez, and B. De Schutter, “Distributed fuzzy confidence interval for traffic measurements”. Proceedings of the 51st IEEE Conference on Decision and Control, CDC’12, Maui, Hawaii, USA, December 10-13, pp. 6995-7000, 2012. DOI: 10.1109/CDC.2012.6426336
[C24] C. Ponce, D. Sáez, and A. Núñez, “Modelación Difusa de Takagi & Sugeno para el Control de una Planta Solar de Colectores Solares Distribuidos (Spanish)”, In Proc. of the XX Congress of the Chilean Association of Automatic Control, ACCA, Santiago, Chile, November 12-16, 2012.
[C23] G. Bustos, L.S. Vargas, F. Milla, D. Sáez, H. Zareipour, and A. Núñez, “Comparison of fixed speed wind turbines models: A case study”. Proceedings of the IECON 2012, 38th Annual Conference of the IEEE Industrial Electronics Society, Montreal, Canada, October 25-28, pp. 961-966, 2012. DOI: 10.1109/IECON.2012.6388937
[C22] Z. Hidayat, A. Núñez, R. Babuška and B. De Schutter, “Identification of distributed parameter systems with missing data”. Proceedings of the 2012 IEEE Multi-Conference on Systems and Control, Dubrovnik, Croatia, October 3-5, pp. 1014-1019, 2012. DOI: 10.1109/CCA.2012.6402648
[C21] C. Portilla, F. Valencia, J.D. López, J. Espinosa, A. Núñez, and B. De Schutter, “Non-linear model predictive control based on game theory for traffic control in highways”. Proceedings of the 4th IFAC Nonlinear Model Predictive Control Conference, NH Conference Center Leeuwenhorst, Noordwijkerhout, The Netherlands, August 23-27, pp. 436-441, 2012. DOI: 10.3182/20120823-5-NL-3013.00046.
[C20] M. Rinaldi, L. Capisani, A. Ferrara, A. Núñez, and B. De Schutter, “Distributed identification of the Cell Transmission traffic model: A case study”. Proceedings of the American Control Conference 2012, ACC’2012, Montreal, Canada, June 27-29, pp. 6545-6550, 2012. DOI: 10.1109/ACC.2012.6315461
[C19] J. Llanos, D. Sáez, R. Palma-Behnke, A. Núñez, and G. Jimenez-Estevez, “Load profile generator and load forecasting for a renewable based microgrid using self organizing maps and neural networks”. IEEE World Congress on Computational Intelligence, IEEE IJCNN 2011, Brisbane, Australia, June 10-15, pp. 1-8, 2012. DOI: 10.1109/IJCNN.2012.6252648
[C18] Z. Hidayat, R. Babuška B. De Schutter, and A. Núñez, “Observers for linear distributed-parameter systems: A survey”. ROSE’2011 – International Symposium on Robotic and Sensors Environments, Montreal, Canada, September 17-18, pp. 166-171, 2011. DOI: 10.1109/ROSE.2011.6058523
[C17] Z. Hidayat, R. Babuška B. De Schutter, and A. Núñez, “Decentralized Kalman filter comparison for distributed-parameter systems: A case study for a 1D heat conduction process”. ETFA’2011 – IEEE International Conference on Emerging Technology & Factory Automation, Toulouse, France, September 5-9, pp. 1-8, 2011. DOI: 10.1109/ETFA.2011.6059054
[C16] A. Núñez, D. Sáez, I. Škrjanc, and B. De Schutter, “A new method for hybrid-fuzzy identification”. 18th IFAC World Congress, Milan, Italy, August 28 to September 2, pp. 15013-15018, 2011. DOI: 10.3182/20110828-6-IT-1002.02523
[C15] A. Núñez, D. Sáez, C.E. Cortés, M. Gendreau, and B. De Schutter, “Multiobjective model predictive control applied to a dial-a-ride system”. Proceedings of the 90th Annual Meeting of the Transportation Research Board, Washington D.C., USA, January 23-27, 2011.
[C14] A. Núñez, B. De Schutter, D. Sáez, C.E. Cortés, “Hierarchical multiobjective model predictive control applied to a dynamic pickup and delivery problem”. 13th International IEEE Annual Conference on Intelligent Transportation Systems, Madeira Island, Portugal, September 19-22, pp. 1553-1558, 2010. DOI: 10.1109/ITSC.2010.5625193.
[C13] D. Muñoz-Carpintero, A. Núñez, D. Sáez, and C.E. Cortés, “Evolutionary algorithms and fuzzy clustering for control of a dynamic vehicle routing problem oriented to user policy”. IEEE World Congress on Computational Intelligence, IEEE CEC 2010, Barcelona, Spain, July 18-23, pp. 1-8, 2010. DOI: 10.1109/CEC.2010.5586534
[C12] C.E. Cortés, D. Sáez, A. Núñez, and G. Otárola, “Control Inteligente para optimización en tiempo real de sistemas de transporte (in Spanish)”. IX Congreso Internacional de Estudiantes y Profesionales de Ingeniería Civil: Avances y desafíos de la movilidad y del transporte (ANEIC 2009), Bucaramanga, Colombia, April 22-25, 2009.
[C11] G. Karer, I. Škrjanc, B. Zupančič, J. Causa, A. Núñez, and D. Sáez , “Comparison of branch and bound and genetic algorithm based approaches to hybrid fuzzy predictive control”. 15th Zittau East-West Fuzzy Colloquium, Zittau, Germany, September 17-19, 2008.
[C10] J. Causa, G. Karer, A. Núñez, D. Sáez, I. Škrjanc, and B. Zupančič, “Hybrid fuzzy predictive control of a batch reactor using branch and bound and a genetic algorithm approach”. 17th IFAC World Congress, Seoul, Korea, July 6-11, pp. 8381-8386, 2008. DOI: 10.3182/20080706-5-KR-1001.01417
[C09] A. Núñez, D. Sáez and C.E. Cortés, “Hybrid predictive control for the vehicle dynamic routing problem based on evolutionary multiobjective optimization (EMO)”. 17th IFAC World Congress, Seoul, Korea, July 6-11, pp. 13085-13090, 2008. DOI: 10.3182/20080706-5-KR-1001.02212
[C08] C.E. Cortés, D. Sáez, F. Milla, M. Riquelme, and A. Núñez, “Hybrid predictive control for real-time optimization of public transport system’ operations based on evolutionary multiobjective optimization”. 10th International Conference on Application of Advanced Technologies in Transportation, Athens, Greece, May 27-31, 2008.
[C07] A. Núñez, M. Riquelme, D. Sáez and C. Cortés, “Control predictivo híbrido para el problema de ruteo dinámico de vehículos basado en optimización Multiobjetivo evolucionaria (EMO) (Spanish)”. XIII Congreso Chileno de Ingeniería de Transporte, Santiago, Chile, October 22-26, 2007.
[C06] D. Sáez, I. Škrjanc, A. Núñez and S. Oblak, “Multiobjective predictive control based on fuzzy hybrid modelling”. Eurosim 2007, Ljubljana, Slovenia, September 9-13, 2007.
[C05] D. Sáez, C. E. Cortés, E. Sáez, M. Riquelme, A. Núñez and A. Tirachini, “Hybrid predictive control strategy for a public transport system with uncertain demand”. TRISTAN VI Congress, Phuket Island, Thailand, June 10-15, 2007.
[C04] A. Núñez, D. Sáez, S. Oblak and I. Škrjanc, “Hybrid predictive control based on fuzzy model”. IEEE World Congress on Computational Intelligence, FUZZ IEEE 2006, Vancouver, BC, Canada, July 16-21, pp. 1947-1953, 2006. DOI: 10.1109/FUZZY.2006.1681970
[C03] A. Núñez, D. Sáez and C. E. Cortés, “Problema de ruteo dinámico de una flota de vehículos con un enfoque de control predictivo híbrido basado en algoritmos genéticos (Spanish),” Actas del XII Congreso Chileno de Ingeniería de Transporte, Valparaíso, Chile, October 17-21, pp. 361-373, 2005.
[C02] C. E. Cortés, D. Sáez, F. Murcia and A. Núñez, “Control predictivo híbrido para un sistema personalizado de transporte público puerta a puerta programado en tiempo real (Spanish)”, Actas del XII Congreso Chileno de Ingeniería de Transporte, Valparaíso, Chile, October 17-21, pp. 375-388, 2005.
[C01] D. Sáez, A. Núñez, A. Chong, R. Zúñiga and V. Albornoz, “Control híbrido predictivo aplicado al control de temperatura de un estanque (Spanish)”, In Proc. of the XVI Congress of the Chilean Association of Automatic Control, ACCA, Santiago, Chile, November 2-4, pp. 61-67, 2004.
Other publications (national journals):
[O03] R. Dollevoet, A. Núñez, and Z. Li, “ABA measurements: Monitoring of condition based maintenance during revenue operations”. European Railway Review, Volume 23, Issue 3, 2017, Pages: 32-35.
[O02] J. Causa, G. Karer, A. Núñez, D. Sáez, I. Škrjanc, and B. Zupančič, “Control predictivo híbrido difuso basado en algoritmos genéticos y su aplicación al control de temperatura de un reactor batch (in Spanish),” Revista Chilena de Ingeniería. Anales del Instituto de Ingenieros de Chile, Volume 120, Issue 3, December 2008, Pages: 113-123.
[O01] A. Núñez, D. Sáez, and C.E. Cortés, “Aplicación de técnicas de inteligencia computacional en un problema de ruteo dinámico de vehículos (in Spanish),” Revista Chilena de Ingeniería. Anales del Instituto de Ingenieros, Volume 119, Issue 1, April 2007, Pages: 21-31.