Analysis and synthesis of fuzzy control systems : a model-based approach /: a model-based approach. (2010)
- Record Type:
- Book
- Title:
- Analysis and synthesis of fuzzy control systems : a model-based approach /: a model-based approach. (2010)
- Main Title:
- Analysis and synthesis of fuzzy control systems : a model-based approach
- Other Titles:
- ENGnetBASE
- Further Information:
- Note: Gang Feng.
- Other Names:
- Feng, Gang
- Contents:
- Chapter 1. Introduction to Fuzzy Logic Control ; 1.1 Introduction; 1.2 Brief Review of Fuzzy Logic Control; 1.2.1 Conventional Fuzzy Control (Mamdani-Type Fuzzy Control); 1.2.2 Fuzzy PID Control; 1.2.3 Neuro–Fuzzy Control or Fuzzy–Neuro Control; 1.2.4 Fuzzy Sliding Mode Control; 1.2.5 Adaptive Fuzzy Control; 1.2.6 Takagi–Sugeno Model-Based Fuzzy Control; 1.3 Summary; Chapter 2. Fuzzy Sets and Fuzzy Systems ; 2.1 Introduction; 2.2 Fuzzy Sets and Related Concepts; 2.3 Fuzzy Relations and Fuzzy IF–THEN Rules; 2.4 Fuzzy Reasoning; 2.5 Fuzzy Models and Fuzzy Systems; 2.5.1 Mamdani Fuzzy Systems; 2.5.2 Takagi–Sugeno Fuzzy Systems; 2.5.3 Fuzzy Dynamic Systems; 2.6 Conclusions; Chapter 3. T–S Fuzzy Modeling and Identification ; 3.1 Introduction; 3.2 T–S Fuzzy Models; 3.3 Universal Function Approximators; 3.4 T–S Fuzzy Model Identification from Nonlinear Models; 3.5 T–S Fuzzy Model Identification from Data; 3.5.1 Identification of Membership Functions; 3.5.2 Identification of Local Models; 3.6 Approximation Error Analysis; 3.7 Conclusions; Chapter 4. Stability Analysis of T–S Fuzzy Systems ; 4.1 Introduction; 4.2 Stability Analysis Based on Common Quadratic Lyapunov Functions; 4.3 Stability Analysis Based on Piecewise Quadratic Lyapunov Functions; 4.4 Stability Analysis Based on Fuzzy Quadratic Lyapunov Functions; 4.5 Stability Analysis of T–S Fuzzy Affine Systems Based on Piecewise Quadratic Lyapunov Functions; 4.6 Comparison of Stability Results via Numerical Examples; 4.7Chapter 1. Introduction to Fuzzy Logic Control ; 1.1 Introduction; 1.2 Brief Review of Fuzzy Logic Control; 1.2.1 Conventional Fuzzy Control (Mamdani-Type Fuzzy Control); 1.2.2 Fuzzy PID Control; 1.2.3 Neuro–Fuzzy Control or Fuzzy–Neuro Control; 1.2.4 Fuzzy Sliding Mode Control; 1.2.5 Adaptive Fuzzy Control; 1.2.6 Takagi–Sugeno Model-Based Fuzzy Control; 1.3 Summary; Chapter 2. Fuzzy Sets and Fuzzy Systems ; 2.1 Introduction; 2.2 Fuzzy Sets and Related Concepts; 2.3 Fuzzy Relations and Fuzzy IF–THEN Rules; 2.4 Fuzzy Reasoning; 2.5 Fuzzy Models and Fuzzy Systems; 2.5.1 Mamdani Fuzzy Systems; 2.5.2 Takagi–Sugeno Fuzzy Systems; 2.5.3 Fuzzy Dynamic Systems; 2.6 Conclusions; Chapter 3. T–S Fuzzy Modeling and Identification ; 3.1 Introduction; 3.2 T–S Fuzzy Models; 3.3 Universal Function Approximators; 3.4 T–S Fuzzy Model Identification from Nonlinear Models; 3.5 T–S Fuzzy Model Identification from Data; 3.5.1 Identification of Membership Functions; 3.5.2 Identification of Local Models; 3.6 Approximation Error Analysis; 3.7 Conclusions; Chapter 4. Stability Analysis of T–S Fuzzy Systems ; 4.1 Introduction; 4.2 Stability Analysis Based on Common Quadratic Lyapunov Functions; 4.3 Stability Analysis Based on Piecewise Quadratic Lyapunov Functions; 4.4 Stability Analysis Based on Fuzzy Quadratic Lyapunov Functions; 4.5 Stability Analysis of T–S Fuzzy Affine Systems Based on Piecewise Quadratic Lyapunov Functions; 4.6 Comparison of Stability Results via Numerical Examples; 4.7 Conclusions; Chapter 5. Stabilization Controller Synthesis of T–S Fuzzy Systems; 5.1 Introduction; 5.2 Stabilization Based on Common Quadratic Lyapunov Functions; 5.3 Stabilization Based on Piecewise Quadratic Lyapunov Functions; 5.4 Stabilization Based on Fuzzy Quadratic Lyapunov Functions; 5.5 Comparison of Stabilization Results via Numerical Examples; 5.6 Conclusions; Chapter 6. Robust H∞ Controller Synthesis of T–S Fuzzy Systems ; 6.1 Introduction; 6.2 Robust H∞ Control Based on Common Quadratic Lyapunov Functions; 6.3 Robust H∞ Control Based on Piecewise Quadratic Lyapunov Functions; 6.4 Robust H∞ Control Based on Fuzzy Quadratic Lyapunov Functions; 6.5 Comparison of Robust H∞ Control Results via Numerical Examples; 6.6 Conclusions; Chapter 7. Observer and Output Feedback Controller Synthesis of T–S Fuzzy Systems ; 7.1 Introduction; 7.2 Observer and Output Feedback Controller Synthesis Based on Common Quadratic Lyapunov Functions; 7.3 Observer and Output Feedback Controller Synthesis Based on Piecewise Quadratic Lyapunov Functions; 7.4 Observer and Output Feedback Controller Synthesis Based on Fuzzy Quadratic Lyapunov Functions; 7.5 Comparison of Observer Design Results via Numerical Examples; 7.6 Conclusions; Chapter 8. Robust Controller Synthesis of Uncertain T–S Fuzzy Systems; 8.1 Introduction; 8.2 Model of Uncertain T–S Fuzzy Systems; 8.3 Controller Synthesis Based on Piecewise Quadratic Lyapunov Functions; 8.3.1 Robust H∞ Performance Analysis; 8.3.2 Piecewise State Feedback Controller Design; 8.3.3 Piecewise Output Feedback Controller Design; 8.4 Controller Synthesis Based on Fuzzy Quadratic Lyapunov Functions; 8.4.1 Robust H∞ Performance Analysis; 8.4.2 State Feedback Controller Design; 8.4.3 Output Feedback Controller Design; 8.5 An Example; 8.6 Conclusions; Chapter 9. Controller Synthesis of T–S Fuzzy Systems with Time-Delay; 9.1 Introduction; 9.2 Model of T–S Fuzzy Systems with Time-Delay; 9.3 Controller Synthesis Based on Piecewise Quadratic Lyapunov Functionals; 9.3.1 Delay-Independent H∞ Controller Design; 9.3.2 Delay-Dependent H∞ Controller Design; 9.4 Controller Synthesis Based on Fuzzy Quadratic Lyapunov Functionals; 9.4.1 Delay-Independent H∞ Controller Design; 9.4.2 Delay-Dependent H∞ Controller Design; 9.5 An Example; 9.6 Conclusions; Chapter 10. Fuzzy Model Predictive Control ; 10.1 Introduction; 10.2 Problem Formulation; 10.3 Fuzzy Model Predictive Control Approaches; 10.3.1 Fuzzy Min–Max MPC Based on Common Quadratic Lyapunov Functions; 10.3.2 Fuzzy Min–Max MPC Based on Piecewise Quadratic Lyapunov Functions; 10.3.3 Constrained Fuzzy MPC; 10.4 Simulation Examples; 10.5 Conclusions; Chapter 11. Robust Filtering of T–S Fuzzy Systems ; 11.1 Introduction; 11.2 Problem Formulation; 11.3 Filter Design Based on Common Quadratic Lyapunov Functions; 11.3.1 H∞ Filter Design; 11.3.2 Generalized H2 Filter Design; 11.4 Filter Design Based on Piecewise Quadratic Lyapunov Functions; 11.4.1 H∞ Filter Design; 11.4.2 Generalized H2 Filter Design; 11.5 Filter Design Based on Fuzzy Quadratic Lyapunov Functions; 11.5.1 H∞ Filter Design; 11.5.2 Generalized H2 Filter Design; 11.6 Simulation Examples; 11.7 Conclusions; Chapter 12. Adaptive Control of T–S Fuzzy Systems; 12.1 Introduction; 12.2 Problem Formulation; 12.3 Adaptive Control System Design; 12.3.1 Adaptation Algorithm; 12.3.2 Controller Design with Known Parameters; 12.3.3 Adaptive Control System Design; 12.3.4 Robust Adaptive Control; 12.4 A Simulation Example; 12.5 Conclusions; Appendix Several Useful Lemmas; References; Index; … (more)
- Publisher Details:
- Boca Raton : CRC Presss
- Publication Date:
- 2010
- Extent:
- 1 online resource (299 pages)
- Subjects:
- 629.801511313 F332
Automatic control -- Mathematical models
Fuzzy systems
TECHNOLOGY & ENGINEERING -- Engineering (General)
Automatic control -- Mathematical models
Fuzzy systems
Electronic books - Languages:
- English
- ISBNs:
- 9781420092653
1420092650 - Related ISBNs:
- 9781420092646
1420092642 - Notes:
- Note: Includes bibliographical references and index.
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- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- British Library HMNTS - ELD.DS.148910
- Ingest File:
- 01_044.xml