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Optimal, Predictive, and Adaptive Control, Book Review

consists of Chapters 6-20. In Chapter 6, the authors present the stability and robustness of fuzzy logic control. They summarize previous results on the application of the qualitative theory of nonlinear dynamical systems to the analysis of two fuzzy control structures and also provide additional results. Chapter 7 deals with intelligent fuzzy controllers for eventdriven, real-time systems. The architecture of a pipelined intelligent controller is presented, and the linguistic model is represented by the overall fuzzy relation stored in a single rule memory. A VLSI integrated circuit implementation of the fuzzy controller is also proposed. Chapter 8 introduces a new method of fuzzy control based on the notion of constraint-oriented fuzzy inference. It show that the goal of control can be naturally decomposed into independent subgoals that can be pursued independently. This allows the construction of control systems using genetic algorithm techniques resulting in efficient and adaptable control schemes. In Chapter 9, the authors propose a new method for fuzzy modeling. It combines a self-tuning method for the fuzzy model using the interior penalty method, and a self-generating algorithm for new fuzzy rules which is invoked when the effect of parameter tuning is diminished. Chapter 10 presents the basic idea of designing fuzzy controllers to guarantee stability based on the notion of variable structure systems.