Improved dynamic event-triggered \(H_\infty\) control for networked fuzzy singularly perturbed systems with hidden Markov fading channels
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Publication:6143032
DOI10.1016/j.cnsns.2023.107752OpenAlexW4389138305MaRDI QIDQ6143032
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Publication date: 23 January 2024
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.2023.107752
fuzzy controlevent-triggered controlsingular perturbation parameter (SPP)hidden Markov fading channels
Fuzzy control/observation systems (93C42) (H^infty)-control (93B36) Time-scale analysis and singular perturbations in control/observation systems (93C70) Discrete event control/observation systems (93C65) Stochastic systems in control theory (general) (93E03) Networked control (93B70)
Cites Work
- \(H_\infty\) control design for fuzzy discrete-time singularly perturbed systems via slow state variables feedback: an LMI-based approach
- Control design with guaranteed cost for synchronization in networks of linear singularly perturbed systems
- Adaptive reliable output tracking of networked control systems against actuator faults
- Global asymptotic stability in mean for stochastic complex networked control systems
- Asynchronous filtering for Markov jump systems within finite time: a general event-triggered communication
- Disturbance-term-based switching event-triggered synchronization control of chaotic Lurie systems subject to a joint performance guarantee
- The exact slow-fast decomposition of the algebraic Ricatti equation of singularly perturbed systems
- Mean-Square Stabilization Over Gaussian Finite-State Markov Channels
- Slow State Variables Feedback Stabilization for Semi-Markov Jump Systems With Singular Perturbations
- Reliable Control of Fuzzy Singularly Perturbed Systems and Its Application to Electronic Circuits
- Stabilization Over Markov Feedback Channels: The General Case
- A Delay System Method for Designing Event-Triggered Controllers of Networked Control Systems
- Adaptive event-triggered finite-time sliding mode control for singular T-S fuzzy Markov jump systems with asynchronous modes
- Dynamic learning control design for interval type‐2 fuzzy singularly perturbed systems: A component‐based event‐triggering protocol
