Parallel adaptive event-triggered asynchronous control for two-time-scale fuzzy semi-Markov jump systems under deception attacks.

Bibliographic Details
Title: Parallel adaptive event-triggered asynchronous control for two-time-scale fuzzy semi-Markov jump systems under deception attacks.
Authors: Zhang, Jianan1 (AUTHOR), Ma, Yuechao1 (AUTHOR) yuechaoma@ysu.edu.cn, Xu, Yanan2 (AUTHOR), Fu, Lei3 (AUTHOR)
Source: Journal of the Franklin Institute. Nov2023, Vol. 360 Issue 17, p12941-12968. 28p.
Subject Terms: *MARKOVIAN jump linear systems, *EXPONENTIAL decay law, *SINGULAR perturbations, *DECEPTION, *INTEGRAL inequalities, *FUZZY neural networks
Abstract: In this brief, the parallel adaptive event-triggered (PAET) asynchronous control issue for a category of two-time-scale fuzzy semi-Markov jump systems (TTS-FSMJSs) is investigated. To save limited network resources, a novel PAET strategy is designed to process the data from slow and fast channels of TTS-FSMJSs separately. Meanwhile, the mode-dependent exponential decay adaptive law effectively avoids Zeno behavior. In addition, in order to reduce the influence of the attack signal in the communication network, an attack strategy with norm-bounded uncertainty is constructed. Based on the proposed PAET strategy, a composite asynchronous controller with time-varying mode emission probabilities (EPs) is designed. When the singular perturbation parameter is not greater than the given upper bound, the system is stable. The sufficient conditions for the closed-loop system is exponentially stable with H ∞ performance are ensured by utilizing the integral inequalities. Ultimately, the validity of the proposed approach is illustrated through the DC motor model. [ABSTRACT FROM AUTHOR]
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Database: Academic Search Complete
More Details
ISSN:00160032
DOI:10.1016/j.jfranklin.2023.09.057
Published in:Journal of the Franklin Institute
Language:English