4.4 Article

Asynchronous dissipative control for networked time-delay Markov jump systems with event-triggered scheme and packet dropouts

Publisher

SPRINGER
DOI: 10.1186/s13638-022-02156-w

Keywords

Markov jump systems; Event-triggered scheme; Packet dropouts; Time delay; Asynchronization; Dissipative control

Funding

  1. National Natural Science Foundation of China [61603133]
  2. Zhejiang Provincial Public Welfare Technology Application Research Program of China [LGG21E020001]
  3. Sichuan Science and Technology Program of China [2020YFH0124]
  4. Zigong Key Science and Technology Project of China [2020YGJC01]

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This paper focuses on the asynchronous dissipative control of networked time-delay Markov jump systems using an event-triggered transmission scheme and the Bernoulli model to describe packet dropout during communication. By using a mode-dependent Lyapunov-Krasovskii function, a sufficient condition for the stochastic stability and strict (mu, theta, nu)-gamma-dissipativity of the closed-loop control system is obtained. Furthermore, the design of the dissipative controller is simplified using matrix scaling and slack matrix techniques. The effectiveness of the proposed design method is verified using a robotic arm system as an example.
This paper is concerned with asynchronous dissipative control for a class of networked time-delay Markov jump systems with event-triggered scheme and packet dropouts. To reduce communication consumption, an event-triggered transmission scheme is introduced. The phenomenon of packet dropout during the communication between the controller and the actuator is described by the Bernoulli model. The designed dissipative controller is asynchronous with the physical plant, which is described by a hidden Markov model. Based on a mode-dependent Lyapunov-Krasovskii function, a sufficient condition for the closed-loop control system to be stochastically stable and strictly (mu, theta, nu)-gamma-dissipative is obtained. Furthermore, the design of dissipative controller is simplified by using matrix scaling and slack matrix techniques. Finally, a robotic arm system is used as an example to verify the effectiveness of our proposed design method.

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