Robust Control Systems with Genetic Algorithms
Mo Jamshidi, Leandro dos Santos Coelho, Renato A. Krohling, Peter J. Fleming
Résumé
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.
- Demonstrates the design of robust controllers using new tools based on genetic algorithms, genetic programming, and hybrid approaches incorporating fuzzy logic
- Presents innovative applications in robotics and jet engines, showing readers how to create new methods for real-world applications
- Discusses advanced paradigms in control design, including predictive and variable structure control and multi-objective optimizations
- Incorporates a full yet concise introduction to fuzzy systems
- Includes exercises in each chapter
Contents
Genetic algorithms- Introduction to Genetic Algorithms
- Terms and Definitions
- Representation
- Fitness Function
- Genetic Operators
- Genetic Algorithms for Optimization
- Genetic Programming
- Conclusions
- Introduction to the Control Theory
- Norms of Signals and Functions
- Description of Model Uncertainty
- Robust Stability and Disturbance Rejection
- Controller Design
- Optimization
- Conclusions
- 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
- Model-Based Predictive Controllers
- Variable Structure Control Systems
- Optimization of Generalized Predictive Control Design by Genetic Algorithms
- Optimization of Quasi-Sliding Mode Control Design by Genetic Algorithms
- Conclusions
- 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
- Introduction
- Hierarchical Fuzzy Control for a Flexible Robotic Link
- Genetic Algorithms in Knowledge Enhancement
- Implementation Issues
- Simulation
- Conclusion
- Introduction
- Hierarchical Fuzzy-Behavior Control
- Coordination by Behavior Modulation
- Genetic Programming of Fuzzy Behaviors
- Evolution of Coordination
- Autonomous Navigation Results
- Conclusion
- Introduction
- H-Infinity Design of Robust Control Systems
- Multiobjective Optimization
- Case Study: Robust Control of a Gasification Plant
- Conclusions
- 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
L'auteur - Mo Jamshidi
University of New Mexico, Albuquerque, New Mexico, USA
L'auteur - Leandro dos Santos Coelho
Pontificia Universidade Catolica do Parana, Parana, Brazil
L'auteur - Renato A. Krohling
Universidade Federal do Espirito Santo, Espirito Santo, Braz
L'auteur - Peter J. Fleming
University of Sheffield, England, UK
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | CRC Press (Taylor and Francis Group) |
| Auteur(s) | Mo Jamshidi, Leandro dos Santos Coelho, Renato A. Krohling, Peter J. Fleming |
| Parution | 28/11/2002 |
| Nb. de pages | 220 |
| Format | 16,2 x 24,2 |
| Couverture | Relié |
| Poids | 487g |
| Intérieur | Noir et Blanc |
| EAN13 | 9780849312519 |
| ISBN13 | 978-0-8493-1251-9 |
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