Control and Filtering for Semi-Markovian Jump Systems

Description

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. Front Matter....Pages i-xviii Introduction....Pages 1-27 Front Matter....Pages 29-29 Stochastic Stability of Semi-Markovian Jump Systems....Pages 31-45 Constrained Regulation of Singular Semi-Markovian Jump Systems....Pages 47-64 State Estimation and Sliding Mode Control for Semi-Markovian Jump Systems....Pages 65-82 Quantized Output Feedback Control of Nonlinear Semi-Markovian Jump Systems....Pages 83-100 Front Matter....Pages 101-101 Passive Filtering for Delayed Neutral-Type Semi-Markovian Jump Systems....Pages 103-131 Event-Triggered Fault Detection for Semi-Markovian Jump Systems....Pages 133-148 Fuzzy Fault Detection Filtering for Semi-Markovian Jump Systems....Pages 149-170 Fault Detection for Underactuated Manipulators Modeled by MJS....Pages 171-193 Front Matter....Pages 195-195 Conclusion and Further Work....Pages 197-199