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Knowledge-Based Control With Application to Robots

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Knowledge-Based Control With Application to Robots Synopsis

This monograph considers the integration of knowledge-based soft control with hard control algorithms. As a specific application, the development of a knowledge-based controller for robotic manipulators is addressed. Servo control alone is known to be inadequate for nonlinear and high-speed processes including robots. Furthermore, knowledge-based control such as fuzzy control, when directly included in the servo loop, has produced insatisfactory performance in research robots. These considerations, along with the fact that human experts can very effectively perform tuning functions in process controllers, form the basis for the control structure proposed in this work. The book is suitable for students, researchers and practising professionals in the fields of Automatic Control and Robotics. The material is presented in simple and clear language with sufficient introductory information. Someone with an undergraduate knowledge in dynamics and control should be able to use the book without any difficulty.

About This Edition

ISBN: 9783540511434
Publication date:
Author: Clarence W DeSilva, Alistair GJ MacFarlane
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 199 pages
Series: Lecture Notes in Control and Information Sciences
Genres: Automatic control engineering
Cybernetics and systems theory
Management and management techniques
Optimization
Engineering: general
Technical design
Artificial intelligence