Methods and Applications of Intelligent Control

. Ed(s): Tzafestas, Spyros G.

ISBN 10: 0792346246 / ISBN 13: 9780792346241

Published by Kluwer Academic Publishers, 1997

About this Item

Presents a collection of contributions that cover a range of topics within intelligent control, including the issues of human-machine systems, linguistic communication systems, and automatic verification of intelligent control software. This volume is suitable for researchers and practitioners in the field of intelligent control. Editor(s): Tzafestas, Spyros G. Series: Intelligent Systems, Control and Automation: Science and Engineering. Num Pages: 583 pages, biography. BIC Classification: TGPQ; TJFM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 31. Weight in Grams: 995. . 1997. Hardback. . . . . Books ship from the US and Ireland.

Seller Inventory # V9780792346241

Bibliographic Details

• Title: Methods and Applications of Intelligent Control
• Publisher: Kluwer Academic Publishers
• Publication Date: 1997
• Language: English
• ISBN 10: 0792346246
• ISBN 13: 9780792346241
• Binding: Hardcover
• Condition: New

About this title

Synopsis

This book is concerned with Intelligent Control methods and applications. The field of intelligent control has been expanded very much during the recent years and a solid body of theoretical and practical results are now available. These results have been obtained through the synergetic fusion of concepts and techniques from a variety of fields such as automatic control, systems science, computer science, neurophysiology and operational research. Intelligent control systems have to perform anthropomorphic tasks fully autonomously or interactively with the human under known or unknown and uncertain environmental conditions. Therefore the basic components of any intelligent control system include cognition, perception, learning, sensing, planning, numeric and symbolic processing, fault detection/repair, reaction, and control action. These components must be linked in a systematic, synergetic and efficient way. Predecessors of intelligent control are adaptive control, self-organizing control, and learning control which are well documented in the literature. Typical application examples of intelligent controls are intelligent robotic systems, intelligent manufacturing systems, intelligent medical systems, and intelligent space teleoperators. Intelligent controllers must employ both quantitative and qualitative information and must be able to cope with severe temporal and spatial variations, in addition to the fundamental task of achieving the desired transient and steady-state performance. Of course the level of intelligence required in each particular application is a matter of discussion between the designers and users. The current literature on intelligent control is increasing, but the information is still available in a sparse and disorganized way.