Simultaneous fault detection and control for continuous-time Markovian jump systems with partially unknown transition probabilities
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Publication:2335675
DOI10.1016/j.amc.2018.05.049zbMath1427.93234OpenAlexW2809068787WikidataQ129577858 ScholiaQ129577858MaRDI QIDQ2335675
Ding Zhai, Dakuo He, Xiao-Heng Chang, Xuan Liu
Publication date: 15 November 2019
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2018.05.049
fault detectiondynamic output feedbackadaptive methodMarkovian jump systemspartially unknown transition probabilities
Estimation and detection in stochastic control theory (93E10) (H^infty)-control (93B36) Applications of continuous-time Markov processes on discrete state spaces (60J28)
Related Items (5)
Dynamic event-triggered asynchronous fault detection for Markov jump systems with partially accessible hidden information and subject to aperiodic DoS attacks ⋮ Dissipativity-based asynchronous fault detection for T-S fuzzy nonlinear Markov jump systems subject to uncertain probabilities ⋮ Finite-time asynchronous \(H_\infty\) control for Markov jump singularly perturbed systems with partially known probabilities ⋮ Event-triggered mixed \(\mathcal{H}_\infty\) and passive filtering for discrete-time networked singular Markovian jump systems ⋮ Disturbance-observer-based event-triggered control for semi-Markovian jump nonlinear systems
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