Book / Book Chapter
Sáez, D., Cipriano, A., Ordys, A. “Optimization of Industrial Processes at Supervisory Level: Application to Control of Thermal Power Plants”. Springer-Verlag London, Series Advances in Industrial Control, England, 2002, 187 páginas. ISBN: 1852333863.
Sáez, D., Cipriano, A. “Supervisory Predictive Control of a Combined Cycle Thermal Power Plant”, Capítulo del libro “Thermal power plant simulation, monitor and control” editado por D. Flynn; IEE, The Institution of Electrical Engineering, 2003, United Kingdom, pag. 161-178, ISBN: 0 85296 419 6.
International Journal Papers
Sáez D., Cortés, C.E., Riquelme, M., Núñez, A., Milla F., Tirachini, A. “Hybrid Predictive Control Strategy for a Public Transport System with Uncertain Demand”. Transportmetrica (in press), 2011. PDF
Cortés, C.E., Sáez, D., Milla, F., Núñez, A., Riquelme, M. “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. PDF
Cortés, C.E., Sáez, D., Núñez, A., Muñoz, D. “Hybrid Adaptive Predictive Control for a Dynamic Pick-up and Delivery Problem”. Transportation Science, Volume 43, February 2009, Pages: 27-42. Doi: 10.1287/trsc.1080.0251. PDF
Núñez, A., Sáez, D., Oblak, S., Škrjanc, I. “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. PDF
Causa, J., Karer, G., Núñez, A., Sáez, D., Škrjanc, I., Zupančič, B. “Hybrid Fuzzy Predictive Control Based on Genetic Algorithm for the Temperature Control of a Batch Reactor”. Computer & Chemical Engineering, Volume 32, Issue 12, 22 December 2008, Pages 3254-3263. Doi: 10.1016/j.compchemeng.2008.05.014. PDF
Sáez, D., Cortés, C.E., Núñez, A. “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, Date: November 2008, Pages: 3412-3438.
Doi: 10.1016/j.cor.2007.01.025. PDF
Sáez D., Berenguel M., “Applications on Hybrid Predictive Control”, International Journal of Adaptive Control and Signal Processing, Vol.22, Nº2, 2008. pp. 101-102. Editora del Special “Applications on Hybrid Predictive Control”, International Journal of Adaptive Control and Signal Processing. PDF
Cortés, C.E., Sáez, D., Núñez, A. “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, Date: March 2008, Pages: 103-123.
Doi: 10.1002/acs.1005. PDF
Sáez, D., Zúñiga, R., Cipriano, A. “Adaptive Hybrid Predictive Control for a Combined Cycle Power Plant Optimization” International Journal of Adaptive Control and Signal Processing. Vol. 22, Nº 2, pp.198-220, 2008. PDF
Sáez, D., Milla, F., Vargas L. “Fuzzy Predictive Supervisory Control Based on Genetic Algorithms for Gas Turbines of Combined Cycle Power Plants. IEEE Transaction on Energy Conversion, Vol. 22, Nº 3, pp. 689- 696, 2007. PDF
Sáez, D., Ordys, A., Grimble, J. “Design of a Supervisory Predictive Controller and its Applications to Thermal Power Plants”, Optimal Control Applications and Methods, Wiley Journal. Vol. 26, Nº 4, pp. 169-198, 2005. PDF
Corona, A., Sáez, D., Agosín, E. “Effect of Water Activity on Gibberellic Acid Production by Gibberella Fujikuroi Under Solid State Fermentation Conditions”. Process Biochemistry, Vol. 40, Nº 8 , pp. 2655-2658, 2005. PDF
Flores, A., Sáez, D., Araya, J., Berenguel, M., Cipriano, A. “Fuzzy Predictive Control of a Solar Power Plant”. IEEE Transactions on Fuzzy Systems, Vol. 13, Nº 1, pp. 58-68, 2005. PDF
Hernández, S., Sáez, D., Mery, D. “Neuro-Fuzzy Method for Automated Defect Detection in Aluminium Castings”. Lecture Notes in Computer Science, LNCS 3212 pp. 826-833, 2004, ISSN 0302-9743, ISBN 3-540-23240-0. PDF
Sáez, D., Cipriano, A. “A New Method for Structure Identification of Fuzzy Models and its Application to a Combined Cycle Power Plant”. Engineering Intelligent Systems for Electrical Engineering and Communications, Vol. 9, Nº 2, pp. 101-107, 2001. PDF