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Reflecting the authors' broad experience in fuzzy control, this book describes the basic concepts for solving a great number of practical control problems. It focuses on hybrid, adaptive, and self-learning fuzzy control schemes that have proved to be superior in solving demanding nonlinear control problems. Every control algorithm described has been tested and verified on either a laboratory or industry process setup. The worked-out examples can form reliable starting points for the solution of other similar control problems. The book covers general topics in an easily understandable style and uses a case-by-case, method-by-method manner to move toward more complex nonlinear control problems.