Abstract:
Analysis, synthesis and classification problems of fuzzy controllers and control systems are discussed. The publications on fuzzy controllers are analyzed with the focus on logic-linguistic and taught controllers and control systems. A fuzzy difference TS-model, which describes dynamic objects and fuzzy controllers, is considered.
The application of Lyapunov techniques for fuzzy systems stability estimation and fuzzy controller synthesis is shown. System structure and teaching techniques for fuzzy control systems with neuro-fuzzy TS plant and controller models are presented. Fuzzy and statistical controllers and control systems are compared.