Robust Control Systems with Genetic Algorithms

ISBN-13: 9780849312519 / Angielski / Twarda / 2002 / 232 str.

Mo Jamshidi; Leandro DOS Santos Coelho; Renato A. Krohling

Opis

This book demonstrates state-of-the-art methods for using genetic algorithms and genetic programming in control systems designs. It offers readers powerful new tools for the design of robust control systems, optimal disturbance rejection controllers, and predictive and variable structure control. It also shows how to augment genetic algorithms and programming with fuzzy logic to design intelligent hybrid control systems. The authors consider a variety of applications, such as the robotic manipulators, flexible links and jet engines, and they use a gasification plant case study to illustrate a multi-objective, genetic algorithm approach.. 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

Spis treści

Genetic Algorithms. Optimal Robust Control.
Methods for Controller Design Using Genetic
Algorithms. Predictive and Structure Variable Control.
Design Methods and Results. Tuning Fuzzy Logic
Controllers for Robust Control Design. GA-Fuzzy
Hierarchical Control Design Approach. Autonomous Robot
Navigation through Fuzzy-Genetic Programming. Robust
Control Systems Design: A Hybrid
H-Infinity/Multi-Objective Optimization Approach.
Appendices.

O autorze

Jamshidi, Mo; Krohling, Renato A.; dos S. Coelho, Leandro; Fleming, Peter J.