Complex system inference-control and fuzzy logic modeling

This report systematically reviews the historical development, theoretical research and practical application of the fuzzy logic inference-control modeling (FLM) for the complex systems-multiple-input-multiple-output (MIMO) systems and nonlinear systems. The most common and important issues related with fuzzy models: self-organizing FLM, adaptive FLM, general purpose FLM, Mamdani-FLM and Tagagi-Sugeno-Kang FLM, fuzzy vector-spaces, hierarchical structured FLM, and fuzzy phase-plane, are exhibited, analyzed, or compared. The survey reveals that the design of inference and control system, especially for MIMO systems and nonlinear systems with uncertainty, can be considered through multiple scenarios, not just their rigid dynamic mathematical models but also fuzzy logic models.