Intelligent Control Systems Using Soft-Computing Methodologies

By: A. E. Ruano (Editor)

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Hardcover | 1 December 2004

At a Glance

Hardcover
476 Pages

Dimensions(cm)
23.5 x 15.88 x 3.18

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Intelligent Control techniques are becoming important tools in both academia and industry. Methodologies developed in the field of soft-computing, such as neural networks, fuzzy systems and evolutionary computation, can lead to accommodation of more complex processes, improved performance and considerable time savings and cost reductions. Intelligent Control Systems Using Computational Intelligence Techniques details the application of these tools to the field of control systems. Each chapter gives an overview of current approaches in the topic covered, with a set of the most important set references in the field, and then details the author's approach, examining both the theory and practical applications.

Industry Reviews

'a very comprehensive and up-to-date treatise of this important and fascinating field. The book is an excellent read for anyone (academic or industrialist) who wishes to discover how to utilise computational intelligence to solve realistic problems. It is an extremely interesting and fascinating book on this dynamic subject, I certainly found it an enthralling read and it has been given a prominent place on my bookshelf.'

-- Dr. Karl O. Jones * Measurement + Control *

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You Can Find This Book In

Non-Fiction Engineering & Technology Electronics & Communications Engineering Electronics Engineering Automatic Control Engineering Computing & I.T.Computer Science Artificial Intelligence Energy Technology & Engineering Electrical Engineering Systems Analysis & Design

An Overview of Nonlinear Identification and Control with Fuzzy Systems
An Overview of Nonlinear Identification and Control with Neural Networks
Multiobjective Evolutionary Computing Solutions for Control and System Identification
Adaptive Local Linear Modelling and Control of Nonlinear Dynamical Systems
Nonlinear System Identification with Local Linear Neuro-Fuzzy Models
Gaussian Process Approaches to Nonlinear Modelling for Control
Neuro Fuzzy Model Construction, Design and Estimation
A Neural Network Approach for nearly Optimal Control of Constrained Nonlinear Systems
Reinforcement Learning for Online Control and Optimisation
Reinforcement Learning and Multiagent Control Within An Internet Environment
Combined Computational Intelligence and Analytical Methods in Fault Diagnosis
Application of Intelligent Control to Autonomous Search of Parking Place and Parking of Vehicles
Applications of Intelligent Control in Medicine
Table of Contents provided by Publisher. All Rights Reserved.

Intelligent Control Systems Using Soft-Computing Methodologies

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

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