Adaptive fault-tolerant control for continuous-time Markovian jump systems with signal quantization. Issue 6 (April 2018)

• Record Type: Journal Article
• Authors: Zhao, Dongyang; Liu, Yu; Liu, Ming; Yu, Jinyong; Shi, Yan
• Is Part Of: Journal of the Franklin Institute. Volume 355:Issue 6(2018)
• Page Start: 2987
• Page End: 3009
• Publication Date: 2018-04
• Subjects: Science -- Periodicals; Technology -- Periodicals; Patents -- United States -- Periodicals; 505
• DOI: 10.1016/j.jfranklin.2018.02.006
• Languages: English
• ISSNs: 0016-0032

Abstract

Abstract: This paper investigates the adaptive fault-tolerant control problem for a class of continuous-time Markovian jump systems with digital communication constraints, parameter uncertainty, disturbance and actuator faults. In this study, the exact information for actuator fault, disturbance and the unparametrisable time-varying stuck fault are totally unknown. The dynamical uniform quantizer is utilized to perform the design work and the mismatched initializations at the coder and decoder sides are also considered. In this paper, a novel quantized adaptive fault-tolerant control design method is proposed to eliminate the effects of actuator fault, parameter uncertainty and disturbance. Moreover, it can be proved that the solutions of the overall closed-loop system are uniformly bounded, which is asymptotically stable almost surely. Finally, numerical examples are provided to verify the effectiveness of the new methodology.