The field of soft computing is emerging from the cutting edge research over the last ten years devoted to fuzzy engineering and genetic algorithms. The subject is being called soft computing and computational intelligence. With acceptance of the research fundamentals in these important areas, the field is expanding into direct applications through engineering and systems science. This book cover the fundamentals of this emerging filed, as well as direct applications and case studies. There is a need for practicing engineers, computer scientists, and system scientists to directly apply "fuzzy" engineering into a wide array of devices and systems.

Foreword

ix

Preface

xi

Acknowledgments

xiv

List of Contributors

xv

Part I: Foundations of Soft Computing and Intelligent Control Systems

Outline of a computational Theory of Perceptions Based on Computing with Words

3

(20)

L. A. Zadeh

Introduction to Soft Computing and Intelligent Control Systems

23

(16)

N. K. Sinha

M. M. Gupta

Computational Issues in Intelligent Control

39

(32)

X. D. Koutsoukos

P. J. Antsaklis

Neural Networks -- A Guided Tour

71

(10)

S. Haykin

On Generating Variable Structure Organization Using a Genetic Algorithm

81

(30)

A. K. Zaidi

A. H. Levis

Evolutionary Algorithms and Neural Networks

111

(26)

R. G. S. Asthana

Neural Networks and Fuzzy Systems

137

(24)

P. Musilek

M. M. Gupta

Fuzzy Neural Networks

161

(24)

P. Musilek

M. M. Gupta

A Cursory Look at Parallel and Distributed Architectures and Biologically Inspired Computing

185

(32)

S. K. Basu

Developments in Learning Control Systems

217

(40)

J. X. Xu

T. H. Lee

C. C. Hang

Y. Q. Chen

Part II: Theory of Soft Computing and Intelligent Control Systems

Techniques for Genetic Adaptive Control

257

(22)

W. K. Lennon

K. M. Passino

Cooperative Behavior of Intelligent Agents: Theory and Practice

279

(30)

L. Vlacic

A. Engwirda

M. Kajitani

Expert Systems in Process Diagnosis and Control

309

(28)

D. Popovic

Neural Networks for Identification of Nonlinear Systems: An Overview

337

(20)

P. Gupta

N. K. Sinha

Sensor Fusion System Using Recurrent Fuzzy Inference

357

(20)

F. Kobayashi

K. Shimojima

F. Arai

T. Fukuda

Neurofuzzy State Estimators

377

(28)

C. J. Harris

X. Hong

Q. Gan

Part III: Implementation and Application of Intelligent Control

Soft Computing Paradigms for Artificial Vision

405

(14)

K. K. Shukla

Intelligent Control with Neural Networks

419

(50)

D. Popovic

Knowledge-Based Adaptation of Neurofuzzy Models in Predictive Control of a Heat Exchanger

469

(22)

M. Fischer

O. Nelles

R. Isermann

Neural Network Approximation of Piecewise Continuous Functions: Application to Friction Compensation

491

(28)

R. R. Selmic

F. L. Lewis

Fuzzy Adaptive and Predictive Control of a Thermic Process

519

(30)

I. Skrjanc

D. Matko

An Intelligent Approach to Positive Target Identification

549

(22)

R. -N. P. Singh

Adaptive Agents and Artificial Life: Insights for the Power Industry

571

(22)

S. A. Harp

T. Samad

Truck Backer-Upper Control Using Dynamic Neural Network

593

(18)

M. M. Gupta

D. H. Rao

Part IV: Future Perspectives

Toward Intelligent Machines: Future Perspectives

611

(10)

M. M. Gupta

N. K. Sinha

List of Current Bibliographical Sources on Soft Computing and Intelligent Control Systems

621

(4)

About the Editors

625

(2)

Index

627

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