DMET-Based Double Asynchronous Dissipative Control of Fuzzy Semi-Markov Jump Systems With Redundant Channels

This article investigates the dynamic-memory event-triggered (DMET)-based double asynchronous dissipative control issue for Takagi-Sugeno fuzzy semi-Markov jump systems (T-S FSMJSs) under redundant channel strategy. To mitigate the network burden and improve the system control performance, a new DMET mechanism is skillfully developed by adopting weighted past released packets of measured output and dynamically adjusted thresholds. Due to the impact of network environment, a novel framework of DMET-based controller scheme is constructed by considering the premise variable asynchronous and mode asynchronous phenomena between the plant and controller simultaneously. The imperfect premise matching and hidden semi-Markov model approaches are employed to resolve two types of mismatches. The redundant channel communication strategy with quantization measurement is used to improve the nonfragility of signal transmission. In terms of the stochastic theory and fuzzy model technique, some criteria are forwarded to ensure the stochastic stability and strict dissipative performance for closed-loop T-S FSMJSs. By the matrix decoupling method, the control scheme is established. Lastly, a single-link robot arm system example is presented to certify the effectiveness of the developed result.