Practical Applications of Computational Intelligence for Adaptive Control

This book is about intelligent, adaptive process control. It brings together ideas from the field of computational intelligence, a part of the larger field of artificial intelligence, including fuzzy mathematics, genetic algorithms, and neural networks, and uses these ideas to develop a generic architecture for accomplishing adaptive process control. In the development of this architecture, the requisite tools are described and then demonstrated on a number of problems. Moreover, most of the examples provided are of interest in industrial settings. The focus of the book is on practical applications. It is meant to provide practicing engineers and scientists with the information needed to solve control problems in industry and in academia. If the reader is interested in solving difficult control problems, then this book is a good place to start. TOC:Fuzzy Systems.- Why Fuzzy Process Control.- The First Fuzzy Controller.- A Cart-Pole Fuzzy Controller.- A Satellite Rendezvous Fuzzy Controller.- Genetic Algorithms.- Genetic Algorithms as Search Procedures.- Genetic Algorithm Design of a Liquid Level Controller.- GA-Tuned Cart-Pole Control.- Satellite Rendezvous Using a Genetic Algorithm.- Time-Varying Chart-Pole Controller.- Computer Modelling.- Genetic Algorithms for Model Tuning.- Neural Networks for Computer Modeling.- Fuzzy Rules for Computer Modelling.- Applications: Adaptive Control of a pH System.- Adaptive Control of a Hexaine Production System.- Adaptive Control of Column Flotation.- Control of a Chaotic System.- Helicopter Flight Control.- Fuzzy Classifer System.