发帖
雷达卡
2013
Hybrid Predictive Control for Dynamic Transport ProblemsAuthors:
- Alfredo A. Núñez,
- Doris A. Sáez,
- Cristián E. Cortés
- …show all 3hide
ISBN: 978-1-4471-4350-5 (Print) 978-1-4471-4351-2 (Online)
Series: Advances in Industrial Control
Nunez, Alfredo, Saez, Doris, Cortés, Cristián E.
2013, XIX, 169 p. 76 illus., 25 in color.
ISBN 978-1-4471-4351-2
Immediately available per PDF-download (no DRM, watermarked)
About this book
- Promotes coordination, safe and cost-sensitive operation of mass-transit systems
- Presents methods which are easily extensible to other large-scale systems
- Strengthens the armoury of methods usable for the academic study of hybrid systems
The main topics of this book are:
●hybrid predictive control (HPC) design based on evolutionary multiobjective optimization (EMO);
●HPC based on EMO for dial-a-ride systems; and
●HPC based on EMO for operational decisions in public transport systems.
Hybrid Predictive Control for Dynamic Transport Problems is a comprehensive analysis of HPC and its application to dynamic transport systems. Introductory material on evolutionary algorithms is presented in summary in an appendix. The text will be of interest to control and transport engineers working on the operational optimization of transport systems and to academic researchers working with hybrid systems. The potential applications of the generic methods presented here in other process fields will appeal to a wider group of researchers, scientists and graduate students working in other control-related disciplines.
Table of contents Hybrid Predictive Control: Mono-objective and Multi-objective Design.- Hybrid Predictive Control for a Dial-a-ride System.- Hybrid Predictive Control for Operational Decisions in Public Transport Systems.
- Authors & Editors
Alfredo Núñez received the M.Sc. and Dr. degrees in electrical engineering, from the Electrical Engineering Department, Universidad de Chile, Santiago, Chile, in 2007 and 2010, respectively. He is currently a postdoc researcher at Delft Center for Systems and Control, Delft University of Technology. His main research interests are in predictive control, hybrid systems and control of transport systems. Cristián Cortés obtained the M.Sc. degree in Civil Engineering at University of Chile in 1995, and his Ph.D. degree in Civil Engineering at University of California, Irvine in 2003. He is currently Assistant Professor at Civil Engineering Department, University of Chile. His research interests include public transport optimization, network optimization and equilibrium; simulation of transport system, control applied to dynamic transport problems. Dr. Cortés has published 22 papers in indexed ISI journals, and reports more than 50 citations in Conferences from different areas. From 2004, he has been a member of the Directory of the Chilean Society in Transport Engineering, and currently participates in several research projects at University of Chile funded by Government Agencies. Doris Sáez received the M.Sc. and Dr. degrees in electrical engineering from the Pontificia Universidad Católica de Chile, Santiago, in 1995 and 2000, respectively. She is currently an Assistant Professor at the Electrical Engineering Department, Universidad de Chile, Santiago. Her current research interests include fuzzy systems control design, fuzzy identification, predictive control, control of power generation plants, and control of transport systems. Dr. Sáez has authored and coauthored more than 50 technical papers in international journals and conferences, and is author of the book Optimization of Industrial Processes at Supervisory Level: Application to Control of Thermal Power Plants (London: Springer-Verlag, 2002). Dr. Sáez is the Vice-president of the IEEE Chilean Section and a Co-Founder of the Chilean chapter of the IEEE Neural Networks Society.
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