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Analysis and Synthesis of Fuzzy Control Systems
A Model-Based Approach
Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach
offers a unique reference devoted to the systematic analysis and synthesis of model-based fuzzy control systems. After giving a brief review of the varieties of FLC, including the Tâ–S fuzzy model-based control, it fully explains the fundamental concepts of fuzzy sets, fuzzy logic, and fuzzy systems. This enables the book to be self-contained and provides a basis for later chapters, which cover:
- Tâ–S fuzzy modeling and identification via nonlinear models or data
- Stability analysis of Tâ–S fuzzy systems
- Stabilization controller synthesis as well as robust H∞ and observer and output feedback controller synthesis
- Robust controller synthesis of uncertain Tâ–S fuzzy systems
- Time-delay Tâ–S fuzzy systems
- Fuzzy model predictive control
- Robust fuzzy filtering
- Adaptive control of Tâ–S fuzzy systems
A reference for scientists and engineers in systems and control, the book also serves the needs of graduate students exploring fuzzy logic control. It readily demonstrates that conventional control technology and fuzzy logic control can be elegantly combined and further developed so that disadvantages of conventional FLC can be avoided and the horizon of conventional control technology greatly extended. Many chapters feature application simulation examples and practical numerical examples based on MATLAB®.
