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Computational Intelligence and Optimization Methods for Control Engineering
Editor
Listed:
- Maude Josée Blondin(University of Florida)Panos M. Pardalos(University of Florida)Javier Sanchis Sáez(Polytechnic University of Valencia)
Abstract
No abstract is available for this item.Individual chapters are listed in the "Chapters" tab
Suggested Citation
- Maude Josée Blondin & Panos M. Pardalos & Javier Sanchis Sáez (ed.), 2019. "Computational Intelligence and Optimization Methods for Control Engineering," Springer Optimization and Its Applications, Springer, number 978-3-030-25446-9, December.
Handle: RePEc:spr:spopap:978-3-030-25446-9
DOI: 10.1007/978-3-030-25446-9
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Book Chapters
The following chapters of this book are listed in IDEAS- Maude Josée Blondin & Javier Sanchis Sáez & Panos M. Pardalos, 2019. "Control Engineering from Classical to Intelligent Control Theory—An Overview," Springer Optimization and Its Applications, in: Maude Josée Blondin & Panos M. Pardalos & Javier Sanchis Sáez (ed.), Computational Intelligence and Optimization Methods for Control Engineering, chapter 0, pages 1-30, Springer.
- Pierre Borne & Amira Gharbi, 2019. "Main Metaheuristics Used for the Optimization of the Control of the Complex Systems," Springer Optimization and Its Applications, in: Maude Josée Blondin & Panos M. Pardalos & Javier Sanchis Sáez (ed.), Computational Intelligence and Optimization Methods for Control Engineering, chapter 0, pages 31-49, Springer.
- O. Tolga Altinoz, 2019. "Optimal Controller Parameter Tuning from Multi/Many-objective Optimization Algorithms," Springer Optimization and Its Applications, in: Maude Josée Blondin & Panos M. Pardalos & Javier Sanchis Sáez (ed.), Computational Intelligence and Optimization Methods for Control Engineering, chapter 0, pages 51-74, Springer.
- Georgios K. Tairidis & Georgios E. Stavroulakis, 2019. "Fuzzy and Neuro-fuzzy Control for Smart Structures," Springer Optimization and Its Applications, in: Maude Josée Blondin & Panos M. Pardalos & Javier Sanchis Sáez (ed.), Computational Intelligence and Optimization Methods for Control Engineering, chapter 0, pages 75-103, Springer.
- Pedro Cabrera & José A. Carta, 2019. "Computational Intelligence in the Desalination Industry," Springer Optimization and Its Applications, in: Maude Josée Blondin & Panos M. Pardalos & Javier Sanchis Sáez (ed.), Computational Intelligence and Optimization Methods for Control Engineering, chapter 0, pages 105-131, Springer.
- Samuel Oludare Bamgbose & Xiangfang Li & Lijun Qian, 2019. "Control of Complex Biological Systems Utilizing the Neural Network Predictor," Springer Optimization and Its Applications, in: Maude Josée Blondin & Panos M. Pardalos & Javier Sanchis Sáez (ed.), Computational Intelligence and Optimization Methods for Control Engineering, chapter 0, pages 133-148, Springer.
- Azwirman Gusrialdi & Ying Xu & Zhihua Qu & Marwan A. Simaan, 2019. "A Real-Time Big Data Control-Theoretical Framework for Cyber-Physical-Human Systems," Springer Optimization and Its Applications, in: Maude Josée Blondin & Panos M. Pardalos & Javier Sanchis Sáez (ed.), Computational Intelligence and Optimization Methods for Control Engineering, chapter 0, pages 149-172, Springer.
- Philipp Braun & Philipp Sauerteig & Karl Worthmann, 2019. "Distributed Optimization Based Control on the Example of Microgrids," Springer Optimization and Its Applications, in: Maude Josée Blondin & Panos M. Pardalos & Javier Sanchis Sáez (ed.), Computational Intelligence and Optimization Methods for Control Engineering, chapter 0, pages 173-200, Springer.
- Harold R. Chamorro & Camilo A. Ordonez & Jimmy C.-H. Peng & Francisco Gonzalez-Longatt & Vijay K. Sood, 2019. "Coherency Estimation in Power Systems: A Koopman Operator Approach," Springer Optimization and Its Applications, in: Maude Josée Blondin & Panos M. Pardalos & Javier Sanchis Sáez (ed.), Computational Intelligence and Optimization Methods for Control Engineering, chapter 0, pages 201-225, Springer.
- Christos Gogos & George Georgiou, 2019. "Appliance Identification Through Nonintrusive Load Monitoring in Residences," Springer Optimization and Its Applications, in: Maude Josée Blondin & Panos M. Pardalos & Javier Sanchis Sáez (ed.), Computational Intelligence and Optimization Methods for Control Engineering, chapter 0, pages 227-244, Springer.
- Marzieh Khakifirooz & Mahdi Fathi & Chen Fu Chien & Panos M. Pardalos, 2019. "Management Suggestions for Process Control of Semiconductor Manufacturing: An Operations Research and Data Science Perspective," Springer Optimization and Its Applications, in: Maude Josée Blondin & Panos M. Pardalos & Javier Sanchis Sáez (ed.), Computational Intelligence and Optimization Methods for Control Engineering, chapter 0, pages 245-274, Springer.
- Maria Laura Delle Monache & Thibault Liard & Anaïs Rat & Raphael Stern & Rahul Bhadani & Benjamin Seibold & Jonathan Sprinkle & Daniel B. Work & Benedetto Piccoli, 2019. "Feedback Control Algorithms for the Dissipation of Traffic Waves with Autonomous Vehicles," Springer Optimization and Its Applications, in: Maude Josée Blondin & Panos M. Pardalos & Javier Sanchis Sáez (ed.), Computational Intelligence and Optimization Methods for Control Engineering, chapter 0, pages 275-299, Springer.
- Marzieh Khakifirooz & Mahdi Fathi & Panos M. Pardalos, 2019. "Disturbance Rejection Run-to-Run Controller for Semiconductor Manufacturing," Springer Optimization and Its Applications, in: Maude Josée Blondin & Panos M. Pardalos & Javier Sanchis Sáez (ed.), Computational Intelligence and Optimization Methods for Control Engineering, chapter 0, pages 301-319, Springer.
- Jon Ander López & Victor Isaac Herrera & Haritza Camblong & Aitor Milo & Haizea Gaztañaga, 2019. "Energy Management Improvement Based on Fleet Digitalization Data Exploitation for Hybrid Electric Buses," Springer Optimization and Its Applications, in: Maude Josée Blondin & Panos M. Pardalos & Javier Sanchis Sáez (ed.), Computational Intelligence and Optimization Methods for Control Engineering, chapter 0, pages 321-355, Springer.
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