Security control for Markov jump system with adversarial attacks and unknown transition rates via adaptive sliding mode technique
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Publication:1738612
DOI10.1016/j.jfranklin.2019.01.045zbMath1411.93164OpenAlexW2920847774WikidataQ128264624 ScholiaQ128264624MaRDI QIDQ1738612
Yuanyuan Zou, Bei Chen, Yugang Niu
Publication date: 18 April 2019
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2019.01.045
Adaptive control/observation systems (93C40) Variable structure systems (93B12) Stochastic systems in control theory (general) (93E03)
Related Items (10)
Event-triggered \(H_\infty\) filtering for Markovian jump neural networks under random missing measurements and deception attacks ⋮ HMM-based adaptive attack-resilient control for Markov jump system and application to an aircraft model ⋮ Robust observer-based sliding mode \(H_\infty\) control for stochastic Markovian jump systems subject to packet losses ⋮ Robust \(H_\infty\) filtering for semi-Markov jump systems encountering denial-of-service jamming attacks ⋮ Dynamic event‐triggered sliding mode security control for Markovian jump systems: Learning‐based iteration optimization method ⋮ Adaptive attack-resilient control for Markov jump system with additive attacks ⋮ Finite-frequency fault estimation and accommodation for continuous-time Markov jump linear systems with imprecise statistics of modes transitions ⋮ Security-based dynamic output-feedback model predictive control for nonlinear systems in T-S fuzzy form subject to deception attacks ⋮ Sliding mode control for discrete-time systems with randomly occurring uncertainties and nonlinearities under hybrid cyber attacks ⋮ Finite-time sliding mode control for UVMS via T-S fuzzy approach
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