Controller tuning optimization methods for multi-contraints and nonlinear systems : a metaheuristic approach

Controller tuning optimization methods for multi-contraints and nonlinear systems : a metaheuristic approach / Maude Josée Blondin.

This book covers controller tuning techniques from conventional to new optimization methods for diverse control engineering applications. Classical controller tuning approaches are presented with real-world challenges faced in control engineering. Current developments in applying optimization techni...

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Bibliographic Details
Main Author: Blondin, Maude Josée
Format: eBook
Language:English
Published: Cham : Springer, 2021.
Series:SpringerBriefs in optimization.
Subjects:
Control theory > Mathematics.
Metaheuristics.
Mathematical optimization.
Teoría de control > Matemáticas
Optimización matemática
Mathematical optimization
Metaheuristics
Online Access:Click for online access
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

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