|19 Jun 2009
||MATLAB Central Team
By Kevin M. Passino & Stephen Yurkovich, ISBN 0-201-18074-X
This book provides a control-engineering perspective on fuzzy control.It is concerned with both the construction of nonlinear controllers forchallenging real-world applications and the gaining of a fundamental understandingof the dynamics of fuzzy control systems so that we can mathematicallyverify their properties before implementation. The book emphasizes engineeringevaluations of performance and comparative analysis with conventionalcontrol methods. Adaptive methods for identification, estimation, andcontrol are introduced. The book contains numerous examples, applications,design and implementation case studies. It also includes introductionsto neural networks, genetic algorithms, expert and planning systems, andintelligent autonomous control.