Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems: 385 (Studies in Systems, Decision and Control, 385)

Preface
Acknowledgements
Contents
Notations and Acronyms
List of Figures
List of Tables
1 Introduction
	1.1 Background
	1.2 Fuzzy-Model-Based Systems
		1.2.1 T-S Fuzzy Dynamic Model
		1.2.2 Fuzzy-Model-Based Control System
		1.2.3 Stability Analysis of Fuzzy Control Systems
	1.3 Intelligent Control of Nonlinear Systems
		1.3.1 Intelligent Control
		1.3.2 Fuzzy Control
	1.4 Reduced-Order Method Synthesis
		1.4.1 Model Reduction
		1.4.2 Reduced Filtering and Control
	1.5 Event-Triggered Strategy
	1.6 Publication Contribution
	1.7 Publication Outline
Part I Stability Analysis and Fuzzy Control
2 Stabilization Synthesis of T-S Fuzzy Delayed Systems
	2.1 Introduction
	2.2 System Description and Preliminaries
	2.3 Main Results
		2.3.1 Stability Analysis
		2.3.2 State Feedback Fuzzy Control
	2.4 Illustrative Example
	2.5 Conclusion
3 Output Feedback Control of Fuzzy Stochastic Systems
	3.1 Introduction
	3.2 System Description and Preliminaries
	3.3 Main Results
		3.3.1 State-Feedback Control
		3.3.2 Hankel-Norm Output Feedback Control
	3.4 Illustrative Example
	3.5 Conclusion
4 mathcalL2–mathcalLinfty Output Feedback Control  of Fuzzy Switching Systems
	4.1 Introduction
	4.2 System Description and Preliminaries
	4.3 System Performance Analysis
	4.4 Dynamic Output Feedback Control
		4.4.1 Reduced-Order Controller Design
		4.4.2 Full-Order Controller Design
	4.5 Illustrative Example
	4.6 Conclusion
Part II Fuzzy Filtering and Fault Detection
5 Dissipative Filtering of Fuzzy Switched Systems
	5.1 Introduction
	5.2 System Description and Preliminaries
		5.2.1 System Description
		5.2.2 Dissipativity Definition
	5.3 Main Results
		5.3.1 Dissipativity Performance Analysis
		5.3.2 Dissipativity-Based Filter Design
	5.4 Illustrative Example
	5.5 Conclusion
6 Fault Detection for Switched Stochastic Systems
	6.1 Introduction
	6.2 System Description and Preliminaries
	6.3 Main Results
		6.3.1 System Performance Analysis
		6.3.2 Fault Detection Filter Design
	6.4 Illustrative Example
	6.5 Conclusion
7 Reliable Filtering for T-S Fuzzy Time-Delay Systems
	7.1 Introduction
	7.2 System Description and Preliminaries
		7.2.1 System Description
		7.2.2 Dissipativity Definition
		7.2.3 Reciprocally Convex Approach
	7.3 Main Results
		7.3.1 Reliable Dissipativity Analysis
		7.3.2 Reliable Filter Design with Dissipativity
	7.4 Illustrative Example
	7.5 Conclusion
Part III Model Reduction and Reduced-Order Synthesis
8 Reduced-Order Model Approximation of Switched Systems
	8.1 Introduction
	8.2 System Description and Preliminaries
	8.3 Main Results
		8.3.1 Pre-specified Performance Analysis
		8.3.2 Model Approximation by Projection Technique
	8.4 Illustrative Example
	8.5 Conclusion
9 Model Reduction of Time-Varying Delay Fuzzy Systems
	9.1 Introduction
	9.2 System Description and Preliminaries
	9.3 Main Results
		9.3.1 Performance Analysis via Reciprocally Convex Technique
		9.3.2 Model Approximation via Projection Technique
	9.4 Illustrative Example
	9.5 Conclusion
10 Model Approximation of Fuzzy Switched Systems
	10.1 Introduction
	10.2 System Description and Preliminaries
	10.3 Main Results
		10.3.1 Hankel-Norm Performance Analysis
		10.3.2 Model Approximation by the Hankel-Norm Approach
	10.4 Illustrative Example
	10.5 Conclusion
11 Reduced-Order Filter Design of Fuzzy Stochastic Systems
	11.1 Introduction
	11.2 System Description and Preliminaries
	11.3 Main Results
		11.3.1  mathcalHinfty  Performance Analysis
		11.3.2 Reduced-Order Filter Design
	11.4 Illustrative Example
	11.5 Conclusion
Part IV Event-Triggered Fuzzy Control Application
12 Dissipative Event-Triggered Fuzzy Control of Truck-Trailer Systems
	12.1 Introduction
	12.2 System Description and Preliminaries
		12.2.1 Truck-Trailer Model
		12.2.2 T-S Fuzzy Systems
	12.3 Main Results
		12.3.1 Dissipative Performance Analysis
		12.3.2 Fuzzy Controller Design
	12.4 Simulation Results
	12.5 Conclusion
13 Event-Triggered Fuzzy Control  of Inverted Pendulum Systems
	13.1 Introduction
	13.2 System Description and Preliminaries
		13.2.1 Inverted Pendulum System
		13.2.2 T-S Fuzzy System
	13.3 Fuzzy Controller Design
		13.3.1 Stability of the Nonlinear Inverted Pendulum Systems
		13.3.2 Fuzzy Control of Inverted Pendulum Systems
		13.3.3 Event-Triggered Fuzzy Control
	13.4 Simulation Results
	13.5 Conclusion
14 Conclusion and Further Work
	14.1 Conclusion
	14.2 Further Work
Appendix  References