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Mode-Dependent Event-Triggered Fault Detection for Nonlinear Semi-Markov Jump Systems With Quantization: Application to Robotic Manipulator

Yidao Ji, Chenan Wang, Wei Wu

Year
2021
Citations
8
Access
Open access

Abstract

This paper is studied with fault detection issue for nonlinear semi-Markov jump systems. In particular, the mode-dependent mechanism of event-triggered transmission is developed for improving communication efficiency. Furthermore, the mode-dependent quantization method is utilized to cope with the limited network bandwidth. These strategies are chosen for more effective utilization of system mode information with less conservatism. Mode-dependent filter type fault detectors are constructed and sufficient conditions are established by Lyapunov-Krasovskii functionals, such that the filter error system can achieve the desired dissipative performance. In the end, the designed fault detection method is verified through a practical example of robotic manipulator.

Keywords

Control theory (sociology)Computer scienceFault detection and isolationNonlinear systemQuantization (signal processing)Mode (computer interface)JumpFilter (signal processing)Fault (geology)Bandwidth (computing)

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