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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.

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Table of Contents

Intelligent Control Systems using Computational Intelligence Techniques

Preface

Chapter 1

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An Overview of Nonlinear Identification and Control with Fuzzy Systems

Chapter 2

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An Overview of Nonlinear Identification and Control with Neural Networks

Chapter 3

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Multi–Objective Evolutionary Computing Solutions for Control and System Identification

Chapter 4

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Adaptive Local Linear Modelling and Control of Nonlinear Dynamical Systems

Chapter 5

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Nonlinear System Identification with Local Linear Neuro-Fuzzy Models

Chapter 6

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Gaussian Process Approaches to Nonlinear Modelling for Control

Chapter 7

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Neuro-Fuzzy Model Construction, Design and Estimation

Chapter 8

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A Neural Network Approach for Nearly Optimal Control of Constrained Nonlinear Systems

Chapter 9

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Reinforcement Learning for Online Control and Optimisation

Chapter 10

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Reinforcement Learning and Multi-agent Control within an Internet Environment

Chapter 11

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Combined Computational Intelligence and Analytical Methods in Fault Diagnosis

Chapter 12

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Application of Intelligent Control to Autonomous Search of Parking Place and Parking of Vehicles

Chapter 13

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Applications of Intelligent Control in Medicine