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Written as a result of a seven year research project using computational intelligence techniques for solving mineral processing problems at the U.S. Bureau of Mines, 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 are of interest in industrial settings (although some simple examples are provided in the beginning so that the reader can focus on technique and not be overburdened with the complexity of the problems being solved.) The focus of Practical Applications of Computational Intelligence for Adaptive Control is on practical applications. It provides practicing engineers and scientists with the information they need to solve process control problems in industry and academia. If the reader is interested in solving difficult control problems or interested in the mechanics of basic computational intelligence techniques, then this book is an excellent place to start.
Table of Contents
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 Algorithms Design of a Liquid Level Controller GA-Tuned Cart-Pole Control Satellite Rendezvous Using a Genetic Algorithm Time-Varying Cart-Pole Controller Computer Modelling Genetic Algorithms for Model Tuning Neural Networks for Computer Modelling Fuzzy Rules for Computer Modelling Applications Adaptive Control of a pH system Adaptive Control of A Hexamine Production System Adaptive Control of Column Flotation Control of a Chaotic System Helicopter Flight control Fuzzy Classifier System Index
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CHOICE – Outstanding Academic Title – Award Winner
CHOICE – 2018 Outstanding Academic Title – Award Winner
Shingo Research and Professional Publication Award Winner
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