Dynamic-memory event-based asynchronous dissipative filtering for T-S fuzzy singular semi-Markov jump systems against multi-cyber attacks

DOI10.1016/j.amc.2022.127352OpenAlexW4283770092MaRDI QIDQ2152747

Gongfei Song, Guangming Zhuang, Laixiang Zhu, Yanqian Wang

Publication date: 11 July 2022

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2022.127352

zbMATH Keywords

hidden Markov modelsasynchronous dissipative filterdynamic-memory event-triggered transmission schememultiple cyber attacks modelT-S fuzzy singular semi-Markov jump systems

Mathematics Subject Classification ID

Model systems in control theory (93Cxx) Stochastic systems and control (93Exx) Controllability, observability, and system structure (93Bxx)

Related Items (5)

Adaptive memory event-triggered double asynchronous fault detection and security control for fuzzy semi-Markov jump systems under cyberattacks ⋮ A random-switch-surface based neural sliding mode framework against actuator attacks of delayed singular semi-Markov jump systems ⋮ Security control of integral sliding modes for multi-agent systems under false data injection attacks ⋮ A survey on hidden Markov jump systems: asynchronous control and filtering ⋮ Asynchronous secure controller design for singularly perturbation stochastic semi-Markov jump CPSs with the memory-based dynamic event-triggered scheme against complex cyber-attacks

Cites Work

• A survey of linear singular systems
• Event-triggered \(H_\infty\) control for network-based uncertain Markov jump systems under DoS attacks
• Finite and infinite horizon indefinite linear quadratic optimal control for discrete-time singular Markov jump systems
• Event-triggered fault detection for nonlinear semi-Markov jump systems based on double asynchronous filtering approach
• A switched fuzzy filter approach to \(H_\infty\) filtering for Takagi-Sugeno fuzzy Markov jump systems with time delay: the continuous-time case
• Adaptive event-triggered resilient control of industrial cyber physical systems under asynchronous data injection attack
• Dynamic output-feedback control of linear semi-Markov jump systems with incomplete semi-Markov kernel
• Non-fragile finite-time filter design for time-delayed Markovian jumping systems via T-S fuzzy model approach
• Dynamic event-based mixed \(H_\infty\) and dissipative asynchronous control for Markov jump singularly perturbed systems
• Fuzzy identification of systems and its applications to modeling and control
• Stability and Stabilization for Singular Switching Semi-Markovian Jump Systems With Generally Uncertain Transition Rates
• Sliding Mode Control of Singular Stochastic Markov Jump Systems
• Slow State Variables Feedback Stabilization for Semi-Markov Jump Systems With Singular Perturbations
• Resilient control of networked control systems under deception attacks: A memory‐event‐triggered communication scheme
• Output-based decentralised event-triggered dissipative control of NCSs under aperiodic DoS attacks
• Sliding Mode Control for Nonlinear Stochastic Singular Semi-Markov Jump Systems
• Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks
• Dynamic event-based reliable dissipative asynchronous control for stochastic Markov jump systems with general conditional probabilities

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