intelligent control systems using soft computing methodologies

[...]... and performance of these systems has become increasingly evident This may explain the dominant role of emerging intelligent systems in recent years [1] However, the definition of intelligent systems is a function of expectations and the status of the present knowledge: perhaps the intelligent systems of today are the “classical systems of tomorrow The concept of intelligent control was first introduced... the most well-known systems of this type are neuro-fuzzy systems Hybrid intelligent systems are likely to play a critical role for many years to come Soft computing paradigms and their hybrids are commonly used to enhance artificial intelligence (AI) and incorporate human expert knowledge in computing processes Their applications include the design of intelligent autonomous systems/ controllers and handling... Introduction to Intelligent and Autonomous Control, Kluwer Academic Publishers, Norwell, MA, 1993 Zadeh, L.A., A Critical View of Our Research in Automatic Control, IRE Trans on Automatic Controls, AC-7, 74, 1962 Intelligent Control Systems 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 9 Zadeh, L.A., The Evolution of Systems Analysis and Control: A Personal Perspective, IEEE Control Mag., Vol... role model on the decision making processes, can be regarded as the foundation of intelligent systems design methodology In a broad perspective, intelligent systems underlie what is called soft computing. ” In traditional hard computing, the prime objectives of the computations are precision and certainty However, in soft computing, the precision and certainty carry a cost Therefore, it is realistic to... Definitions 10.2.1 Inference Engine 10.2.2 Defuzzification Fuzzy Control Design Analysis of Fuzzy Control Systems Stability of Fuzzy Control Systems 10.5.1 Lyapunov Stability 10.5.2 Stability via Interval Matrix Method Conclusion References Chapter 11 11.1 11.2 11.3 11.4 11.5 11.6 FUZZY CONTROL AND STABILITY Mo Jamshidi and Aly El-Osery SOFT COMPUTING APPROACH TO SAFE NAVIGATION OF AUTONOMOUS PLANETARY... response to selective Intelligent Control Systems 7 pressure induced by their relative success at implementing the desired behavior [103] 1.5 HYBRID SYSTEMS In many cases, hybrid applications methods have proven to be effective in designing intelligent control systems As it was shown in recent years, fuzzy logic, neural networks and evolutionary computations are complementary methodologies in the design... Kinematics Using Fuzzy Logic 14.3.2 Solution of Inverse Kinematics Using ANFIS 14.3.3 Simulation Experiments Controller Design of Microbot 14.4.1 Design of a Conventional Controller 14.4.2 Hierarchical Control 14.4.3 ANFIS Controller for Microbot Conclusions References Chapter 15 15.1 15.2 15.3 APPLICATION OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEMS TO ROBOTICS Ali Zilouchian and David Howard APPLICATION OF SOFT. .. T., Real-Time Neural Network Control of a Biped Walker Robot, IEEE Control Syst., Vol 14, No.1, Feb 1994 Liu, H., Iberall, T., and Bekey, G., Neural Network Architecture for Robot Hand Control, IEEE Control Syst., Vol 9, No 3, 38, April 1989 Handelman, D., Lane, S., and Gelfand, J., Integrating Neural Networks and Knowledge-Based Systems for Intelligent Robotic Control, IEEE Control Syst Mag., Vol 10,... fuzzy set intersection operators Finally, Chapter 20 presents a methodology for applying GP to design a fuzzy logic steering controller for a mobile robot 1.6 ORGANIZATION OF THE BOOK This book covers basic concepts and applications of intelligent systems using soft computing methodologies and their integration It is divided into six major parts Part I (Chapters 2 − 3) covers the fundamental concepts... the viability of fuzzy logic control (FLC) for a small model steam engine After this pioneer work, many consumer products as well as other high tech applications using fuzzy technology have been developed and are currently available in Japan, the U.S and Europe Intelligent Control Systems 1.3.1 5 Rationale for Using FL in Engineering During the last four decades, most control system problems have . h0" alt="" Intelligent Control Systems Using Soft Computing Methodologies Boca Raton London New York Washington, D.C. CRC Press Intelligent Control Systems Using Soft Computing Methodologies Edited. Intelligent control systems using soft computing methodologies / edited by Ali Zilouchian and Mohammad Jamshidi. p. cm. Includes bibliographical references and index. ISBN 0-8493-1875-0 1. Intelligent. applications of intelligent systems through soft computing given to guide the interested readers on their research interest track. This book provides a general foundation of soft computing methodologies