内容简介：　　

　 This book presents up-to-date research developments and novel methodologies on semi-Markovian jump systems (S-MJS). It presents solutions to a series of problems with new approaches for the control and filtering of S-MJS, including stability analysis, sliding mode control, dynamic output feedback control, robust filter design, and fault detection. A set of newly developed techniques such as piecewise analysis method, positively invariant set approach, event-triggered method, and cone complementary linearization approaches are presented. Control and Filtering for Semi-Markovian Jump Systems is a comprehensive reference for researcher and practitioners working in control engineering, system sciences and applied mathematics, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.


英文目录：
1 Introduction
　　1.1 Analysis and Control of MJS
　　　　1.1.1 Stability Analysis of MJS
　　　　1.1.2 Control and Filtering of MJS
　　1.2 Analysis and Control of S-MJS
　　　　1.2.1 Literature Review of S-MJS
　　　　1.2.2 Mathematical Descriptions and Basic Concepts
　　1.3 Outline of the Book
　　References.
2 Stochastic Stability of Semi-Markovian Jump Systems
　　2.1 Introduction
　　2.2 System Description and Preliminaries
　　2.3 Main Results
　　2.4 Illustrative Example
　　2.5 Conclusion
　　References
3 Constrained Regulation of Singular Semi-Markovian Jump Systems
　　3.1 Introduction
　　3.2 System Description and Preliminaries
　　3.3 Main Results
　　　　3.3.1 Full-Column Rank Solutions
　　　　3.3.2 Full-Row Rank Solutions
　　　　3.3.3 A Heuristic Algorithm for Constrained Regulation Problem
　　3.4 Simulation Results
　　3.5 Conclusion
　　References
4 State Estimation and Sliding Mode Control for Semi-Markovian Jump Systems
　　4.1 Introduction
　　4.2 System Description and Preliminaries
　　4.3 Main Results
　　　　4.3.1 Sliding Mode Control
　　　　4.3.2 Observer-Based Sliding Mode Control
　　4.4 Illustrative Example
　　4.5 Conclusion
　　References
5 Quantized Output Feedback Control of Nonlinear Semi-Markovian Jump Systems
　　5.1 Introduction
　　5.2 Problem Formulation and Preliminaries
　　5.3 Main Results
　　5.4 Illustrative Example
　　5.5 Conclusion
　　References
6 Passive Filtering for Delayed Neutral-Type Semi-Markovian Jump Systems
　　6.1 Introduction
　　6.2 Problem Formulation and Preliminaries
　　6.3 Main Results
　　　　6.3.1 Passive Filtering Analysis
　　　　6.3.2 Passive Filter Design
　　　　6.3.3 Further Extensions
　　　　6.3.4 Convex Optimization Algorithm for Filter Design
　　6.4 Illustrative Example
　　6.5 Conclusion
　　References
7 Event-Triggered Fault Detection for Semi-Markovian Jump Systems
　　7.1 Introduction
　　7.2 Problem Formulation
　　7.3 Main Results
　　　　7.3.1 Fault Detection Filtering Analysis
　　　　7.3.2 Fault Detection Filter Design
　　7.4 Illustrative Example
　　7.5 Conclusion
　　References
8 Fuzzy Fault Detection Filtering for Semi-Markovian Jump Systems
　　8.1 Introduction
　　8.2 Problem Formulation and Preliminaries
　　8.3 Main Results
　　　　8.3.1 Fault Detection Filtering Analysis
　　　　8.3.2 Fault Detection Filter Design
　　8.4 Simulation
　　8.5 Conclusion
　　References
9 Fault Detection for Underactuated Manipulators Modeled by MJS
　　9.1 Introduction
　　9.2 Problem Formulation and Preliminaries
　　9.3 Main Results
　　9.4 Illustrative Example
　　9.5 Conclusion
　　References
10 Conclusion and Further Work
　　10.1 Conclusion
　　10.2 Further Work