Distributed dynamic event-based finite-time dissipative synchronization control for semi-Markov switched fuzzy cyber-physical systems against random packet losses

doi:10.1088/1674-1056/acb91b

Abstract This paper is concerned with the finite-time dissipative synchronization control problem of semi-Markov switched cyber-physical systems in the presence of packet losses, which is constructed by the Takagi-Sugeno fuzzy model. To save the network communication burden, a distributed dynamic event-triggered mechanism is developed to restrain the information update. Besides, random packet dropouts following the Bernoulli distribution are assumed to occur in sensor to controller channels, where the triggered control input is analyzed via an equivalent method containing a new stochastic variable. By establishing the mode-dependent Lyapunov-Krasovskii functional with augmented terms, the finite-time boundness of the error system limited to strict dissipativity is studied. As a result of the help of an extended reciprocally convex matrix inequality technique, less conservative criteria in terms of linear matrix inequalities are deduced to calculate the desired control gains. Finally, two examples in regard to practical systems are provided to display the effectiveness of the proposed theory.

Keywords: cyber-physical systems finite-time synchronization distributed dynamic event-triggered mechanism random packet losses

Received: 25 October 2022
Revised: 22 January 2023
Accepted manuscript online: 06 February 2023

PACS:	05.45.Xt	(Synchronization; coupled oscillators)
	07.05.Mh	(Neural networks, fuzzy logic, artificial intelligence)
	07.05.Dz	(Control systems)
	05.45.-a	(Nonlinear dynamics and chaos)

Fund: Project supported by the National Natural Science Foundation of China (Grant No. 62263005), Guangxi Natural Science Foundation (Grant No. 2020GXNSFDA238029), Laboratory of AI and Information Processing (Hechi University), Education Department of Guangxi Zhuang Autonomous Region (Grant No. 2022GXZDSY004), Innovation Project of Guangxi Graduate Education (Grant No. YCSW2023298), and Innovation Project of GUET Graduate Education (Grant Nos. 2022YCXS149 and 2022YCXS155).

Corresponding Authors: Yuchong Zhang
E-mail: yczhang_1128@163.com

Cite this article:

Xiru Wu(伍锡如), Yuchong Zhang(张煜翀), Tiantian Zhang(张畑畑), and Binlei Zhang(张斌磊) Distributed dynamic event-based finite-time dissipative synchronization control for semi-Markov switched fuzzy cyber-physical systems against random packet losses 2023 Chin. Phys. B 32 100506

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[1]	Finite-time synchronization of uncertain fractional-order multi-weighted complex networks with external disturbances via adaptive quantized control Hongwei Zhang(张红伟), Ran Cheng(程然), and Dawei Ding(丁大为). Chin. Phys. B, 2022, 31(10): 100504.
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[4]	A novel adaptive finite-time controller for synchronizing chaotic gyros with nonlinear inputs Mohammad Pourmahmood Aghababa . Chin. Phys. B, 2011, 20(9): 090505.

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Distributed dynamic event-based finite-time dissipative synchronization control for semi-Markov switched fuzzy cyber-physical systems against random packet losses

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