E-Book, Englisch, 232 Seiten
Reihe: Control Series
Jamshidi / Krohling / dos S. Coelho Robust Control Systems with Genetic Algorithms
Erscheinungsjahr 2011
ISBN: 978-1-4200-5834-5
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 232 Seiten
Reihe: Control Series
ISBN: 978-1-4200-5834-5
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
In recent years, new paradigms have emerged to replace-or augment-the traditional, mathematically based approaches to optimization. The most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the optimization of symbolic codes.
Robust Control Systems with Genetic Algorithms builds a bridge between genetic algorithms and the design of robust control systems. After laying a foundation in the basics of GAs and genetic programming, it demonstrates the power of these new tools for developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure control. It also explores the application of hybrid approaches: how to enhance genetic algorithms and programming with fuzzy logic to design intelligent control systems. The authors consider a variety of applications, such as the optimal control of robotic manipulators, flexible links and jet engines, and illustrate a multi-objective, genetic algorithm approach to the design of robust controllers with a gasification plant case study.
The authors are all masters in the field and clearly show the effectiveness of GA techniques. Their presentation is your first opportunity to fully explore this cutting-edge approach to robust optimal control system design and exploit its methods for your own applications.
Zielgruppe
Professionals and researchers in control engineering, computer engineering, electrical, aerospace, mechanical, chemical, systems, and manufacturing engineering
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
GENETIC ALGORITHMS
Introduction to Genetic Algorithms
Terms and Definitions
Representation
Fitness Function
Genetic Operators
Genetic Algorithms for Optimization
Genetic Programming
Conclusions
References
OPTIMAL ROBUST CONTROL
Introduction to the Control Theory
Norms of Signals and Functions
Description of Model Uncertainty
Robust Stability and Disturbance Rejection
Controller Design
Optimization
Conclusions
References
METHODS FOR CONTROLLER DESIGN USING GENETIC ALGORITHMS
Introduction to Controller Design Using Genetic
Algorithms
Design of Optimal Robust Controller with
Fixed-Structure
Design of Optimal Disturbance Rejection Controller with Fixed Structure
Evaluation of the Methods
Conclusions
References
PREDICTIVE AND STRUCTURE VARIABLE CONTROL
Model-Based Predictive Controllers
Variable Structure Control Systems
References
DESIGN METHODS, SIMULATION RESULTS, AND CONCLUSIONS
Optimization of Generalized Predictive Control Design by Genetic Algorithms
Optimization of Quasi-Sliding Mode Control Design by Genetic Algorithms
Conclusions
References
TUNING FUZZY LOGIC CONTROLLERS FOR ROBUST CONTROL SYSTEM DESIGN
Introduction
Fuzzy Control
Genetic Tuning of Fuzzy Control Systems
Gas Turbine Engine Control
Fuzzy Control System Design - Example Study
Applications of GAs for Fuzzy Control
References
GA-FUZZY HIERARCHICAL CONTROL DESIGN APPROACH
Introduction
Hierarchical Fuzzy Control for a Flexible Robotic Link
Genetic Algorithms in Knowledge Enhancement
Implementation Issues
Simulation
Conclusion
References
AUTONOMOUS ROBOT NAVIGATION THROUGH FUZZY-GENETIC PROGRAMMING
Introduction
Hierarchical Fuzzy-Behavior Control
Coordination by Behavior Modulation
Genetic Programming of Fuzzy Behaviors
Evolution of Coordination
Autonomous Navigation Results
Conclusions
Acknowledgements
References
ROBUST CONTROL SYSTEM DESIGN: A HYBRID H-INFINITY / MULTI-OBJECTIVE OPTIMIZATION APPROACH
Introduction
H-Infinity Design of Robust Control Systems
Multiobjective Optimization
Case Study: Robust Control of a Gasification Plant
Conclusions
APPENDIX: FUZZY SETS, LOGIC AND CONTROL
Introduction
Classical Sets
Classical Set Operations
Properties of Classical Sets
Fuzzy Sets and Membership Functions
Fuzzy Sets Operations
Properties of Fuzzy Sets
Predicate Logic
Fuzzy Logic
Fuzzy Control
Basic Definitions
Conclusion
References