Journal
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
Volume 67, Issue 8, Pages 4346-4353Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2022.3175723
Keywords
Switches; Switched mode power supplies; Markov processes; Protocols; Control systems; Process control; Control theory; Deterministic switching; dynamic-memory event-triggered protocol (DMETP); semi-Markov jump systems (SMJSs); static output control
Funding
- National Natural Science Foundation of China [12161011, 62173100]
- National Natural Science Foundation of Guangxi Province [2020GXNSFAA159049, 2020GXNSFFA297003]
- Guangxi Science and Technology Base and Specialized Talents [Guike AD20159057]
- Korea government (MSIT) [2020R1A2B5B02002002]
- National Research Foundation of Korea (NRF)
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This study addresses the output-feedback control problem for general semi-Markov jump systems with a memory-dynamic event-triggered protocol. A novel framework of semi-Markov process subject to a higher level deterministic switching signal is constructed based on the average dwell-time strategy. By proposing a dynamic-memory event-triggered protocol and considering an asynchronous memory-based output-feedback control law, the mean-square exponential stability of the closed-loop system is ensured.
This study addresses the output-feedback control problem for general semi-Markov jump systems with a memory-dynamic event-triggered protocol. Based on the average dwell-time strategy, a novel framework of semi-Markov process subject to a higher level deterministic switching signal is constructed, where the Markov renewal process is nonhomogeneous. Aiming at improving communication efficiency and control performance, a novel dynamic-memory event-triggered protocol is proposed, and the resulting system can be transformed into a time-delay system. By considering an asynchronous memory-based output-feedback control law, whose asynchronization can be modeled by a nonhomogeneous hidden semi-Markov model, some parameter-dependent sufficient criteria are forwarded to ensure the mean-square exponential stability of the closed-loop system. Finally, the effectiveness and applicability of the presented approach are testified by two examples.
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