Intelligent Control

Aspects Of Fuzzy Logic And Neural Nets

Christopher J Harris (Univ Of Southampton, Uk), Tom Husband (.), M Brown (Univ Of Southampton, Uk) , C G Moore (Univ Of Southampton, Uk)

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English

World Scientific Publishing Co Pte Ltd
01 March 1993

Mathematical logic; Fuzzy set theory; Neural networks & fuzzy systems

Series: World Scientific Series In Robotics And Intelligent Systems

With increasing demands for high precision autonomous control over wide operating envelopes, conventional control engineering approaches are unable to adequately deal with system complexity, nonlinearities, spatial and temporal parameter variations, and with uncertainty. Intelligent Control or self-organizing/learning control is a new emerging discipline that is designed to deal with problems. Rather than being model based, it is experiential based. Intelligent control is the amalgam of the disciplines of artificial intelligence, systems theory and operations research. It uses most recent experiences or evidence to improve its performance through a variety of learning schemes, that for practical implementation must demonstrate rapid learning convergence, be temporally stable, be robust to parameter changes and internal and external disturbances. It is shown in this book that a wide class of fuzzy logic and neural net based learning algorithms satisfy these conditions. It is demonstrated that this class of intelligent controllers is based upon a fixed nonlinear mapping of the input (sensor) vector, followed by an output layer linear mapping with coefficients that are updated by various first order learning laws. Under these conditions self-organizing fuzzy logic controllers and neural net controllers have common learning attributes. A theme example of the navigation and control of an autonomous guided vehicle is included throughout, together with a series of bench examples to demonstrate this new theory and its applicability.

By: Christopher J Harris (Univ Of Southampton Uk), Tom Husband (.), M Brown (Univ Of Southampton, Uk), C G Moore (Univ Of Southampton, Uk)
Imprint: World Scientific Publishing Co Pte Ltd
Country of Publication: Singapore
Volume: 6
Dimensions: Height: 220mm,
ISBN: 9789810210427
ISBN 10: 9810210426
Series: World Scientific Series In Robotics And Intelligent Systems
Pages: 400
Publication Date: 01 March 1993
Audience: College/higher education , Professional and scholarly , Further / Higher Education , Undergraduate
Format: Hardback
Publisher's Status: Active

Reviews for Intelligent Control: Aspects Of Fuzzy Logic And Neural Nets

It was the last title in this impressive sequence of fantasy novels that won the author the Carnegie Medal in 1956. To celebrate the centenary of the author's birth in 1998, the books were reissued in splendid new format with colour illustrations. There is also a lavish hardback edition of all seven books that is a wonderful volume from which to read aloud. (10 yrs +) (Kirkus UK)