H ∞ $$ {H}_{\infty } $$ Synchronization of Semi-Markovian Switching Complex-Valued Networks With Time-Varying Delay: A Delay-Dependent Event-Triggered Mechanism

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Robust and Nonlinear Control Pub Date : 2024-11-27 DOI:10.1002/rnc.7739
Qiang Li, Hanqing Wei, Weiqiang Gong, Jinling Wang
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引用次数: 0

Abstract

This paper focuses on the H $$ {H}_{\infty } $$ synchronization issue for delayed semi-Markovian switching complex-valued networks via the delay-dependent event-triggered mechanism. For the first time, in order to reduce the redundant information transmission and the number of false triggers, a novel event-triggered mechanism is proposed, which involves the network-induced time delay and the latest triggered signal. Second, based on the proposed delay-dependent event-triggered control scheme, the desired results can be realized. Specifically, by utilizing the stochastic analysis technique and Lyapunov stability theory as well as mixed reciprocally convex inequalities, some sufficient less conservative criteria are achieved to ensure the synchronization error system realize the globally asymptotically mean-square stability with a pre-established H $$ {H}_{\infty } $$ disturbance performance. Furthermore, the expected controller gain matrices can be explicitly designed by solving some solvable matrix inequalities. At the end of paper, an illustrative example with simulations is presented to demonstrate the feasibility and effectiveness of the proposed delay-dependent event-triggered scheme.

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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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