Adaptive Fuzzy Systems and Control: Design and Stability Analysis

Shows step-by-step how to combine linguistics and numerical information using various kinds of adaptive fuzzy systems.

Provides rigorous analysis of nonlinear fuzzy control systems.

Features 11 case studies showing how performance is improved by use of these systems.

Outlines a simple and efficient method to guarantee the stability of nonlinear fuzzy control systems.

Compares the fuzzy logic approaches with other conventional approaches.

Summarizes the state-of-the-art methods for automatic tuning of the parameters and structures of fuzzy logic systems and shows how to apply them to a variety of control and signal processing problems as well as how to analyze the performance of the resulting systems.