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KuTenk 2000 - SCTR284211-Intelligent Control Systems using Computational Intelligence Techniques

by A. E. Ruano

2005 (476 pages)

ISBN:9780863414893

Examining both the theory and practical applications of intelligent control techniques, this book details the applications of neural networks, fuzzy systems and evolutionary computation to the field of control systems.

Table of Contents

Intelligent Control Systems using Computational Intelligence Techniques
Preface
Chapter 1	-	An Overview of Nonlinear Identification and Control with Fuzzy Systems
Chapter 2	-	An Overview of Nonlinear Identification and Control with Neural Networks
Chapter 3	-	Multi–Objective Evolutionary Computing Solutions for Control and System Identification
Chapter 4	-	Adaptive Local Linear Modelling and Control of Nonlinear Dynamical Systems
Chapter 5	-	Nonlinear System Identification with Local Linear Neuro-Fuzzy Models
Chapter 6	-	Gaussian Process Approaches to Nonlinear Modelling for Control
Chapter 7	-	Neuro-Fuzzy Model Construction, Design and Estimation
Chapter 8	-	A Neural Network Approach for Nearly Optimal Control of Constrained Nonlinear Systems
Chapter 9	-	Reinforcement Learning for Online Control and Optimisation
Chapter 10	-	Reinforcement Learning and Multi-agent Control within an Internet Environment
Chapter 11	-	Combined Computational Intelligence and Analytical Methods in Fault Diagnosis
Chapter 12	-	Application of Intelligent Control to Autonomous Search of Parking Place and Parking of Vehicles
Chapter 13	-	Applications of Intelligent Control in Medicine