Adaptive memory event-triggered double asynchronous fault detection and security control for fuzzy semi-Markov jump systems under cyberattacks

DOI10.1016/J.CNSNS.2023.107593zbMath1529.93064OpenAlexW4387460670MaRDI QIDQ6059025

Jianan Zhang, Lei Fu, Yue-Chao Ma

Publication date: 1 November 2023

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2023.107593

zbMATH Keywords

deception attacksfault detection filteradaptive memory event-triggered mechanismdouble asynchronous MFDASC module

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Adaptive control/observation systems (93C40) Discrete event control/observation systems (93C65) Stochastic systems in control theory (general) (93E03)

Related Items (1)

Non-fragile mixed event-triggered networked control for Takagi-Sugeno systems subject to actuator faults and external disturbances

Cites Work

• Robust \(\mathcal H_{\infty}\) fuzzy filter design for uncertain nonlinear singularly perturbed systems with Markovian jumps: an LMI approach
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• Time-varying gain controller synthesis of piecewise homogeneous semi-Markov jump linear systems
• Event-triggered fault detection for nonlinear semi-Markov jump systems based on double asynchronous filtering approach
• Dynamic-memory event-based asynchronous dissipative filtering for T-S fuzzy singular semi-Markov jump systems against multi-cyber attacks
• A novel learning-based asynchronous sliding mode control for discrete-time semi-Markov jump systems
• Observer-based asynchronous control for Markov jump systems
• Non-fragile finite-time filter design for time-delayed Markovian jumping systems via T-S fuzzy model approach
• Resilient Static Output Feedback Control of Linear Semi-Markov Jump Systems With Incomplete Semi-Markov Kernel

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