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Table of Contents
Intro
Preface
Acknowledgments
Contents
1 Optimization Algorithms in Control Systems
1.1 Introduction to Control System
1.2 Control Design Challenges
1.3 Optimization-Based Approach for Controllers Tuning
References
2 Controller Tuning by Metaheuristics Optimization
2.1 Historical Evolution of Metaheuristics
2.2 Metaheuristics Survey
2.3 Metaheuristics Common Principles
2.4 Simulated Annealing
2.5 Genetics Algorithm
References
3 Case Studies
3.1 Inverted Cart-Pendulum
3.1.1 Model of the Inverted Cart-Pendulum and its Controllers
3.1.1.1 Controller Structures
3.1.2 Controller Structure Optimization
3.1.3 Simulation Results
3.1.4 Discussion
3.2 AVR System
3.2.1 Model of the AVR System and its Controllers
3.2.2 Simulation Results
3.2.3 Discussion
3.3 Conclusion
References
4 Future Direction and Research Trends
4.1 Algorithm Contributions and Assessments
4.2 Recommendation for Future Research
4.3 Hybrid Metaheuristics
4.3.1 Hybrid Algorithms: Controller Tuning
4.4 Conclusion
References
Preface
Acknowledgments
Contents
1 Optimization Algorithms in Control Systems
1.1 Introduction to Control System
1.2 Control Design Challenges
1.3 Optimization-Based Approach for Controllers Tuning
References
2 Controller Tuning by Metaheuristics Optimization
2.1 Historical Evolution of Metaheuristics
2.2 Metaheuristics Survey
2.3 Metaheuristics Common Principles
2.4 Simulated Annealing
2.5 Genetics Algorithm
References
3 Case Studies
3.1 Inverted Cart-Pendulum
3.1.1 Model of the Inverted Cart-Pendulum and its Controllers
3.1.1.1 Controller Structures
3.1.2 Controller Structure Optimization
3.1.3 Simulation Results
3.1.4 Discussion
3.2 AVR System
3.2.1 Model of the AVR System and its Controllers
3.2.2 Simulation Results
3.2.3 Discussion
3.3 Conclusion
References
4 Future Direction and Research Trends
4.1 Algorithm Contributions and Assessments
4.2 Recommendation for Future Research
4.3 Hybrid Metaheuristics
4.3.1 Hybrid Algorithms: Controller Tuning
4.4 Conclusion
References