Model-Predictive Control for Markovian Jump Systems Under Asynchronous Scenario: An Optimizing Prediction Dynamics Approach

DOI10.1109/TAC.2022.3164832OpenAlexW4225689035MaRDI QIDQ6052084

Unnamed Author, Yan Song

Publication date: 21 September 2023

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tac.2022.3164832

zbMATH Keywords

mean-square stabilityMarkovian jump systems (MJSs)hidden Markov models (HMMs)asynchronous modesmodel-predictive control (MPC)optimizing prediction dynamics (OPD)

Mathematics Subject Classification ID

Systems theory; control (93-XX)

Related Items (7)

Non-fragile robust model predictive controller design for uncertain time-delay systems with input constraints ⋮ A brief survey on nonlinear control using adaptive dynamic programming under engineering-oriented complexities ⋮ Adaptive event-triggered output tracking control for Markovian jump systems: a robust \(H_2/H_\infty\) MPC approach ⋮ Security-based dynamic output-feedback model predictive control for nonlinear systems in T-S fuzzy form subject to deception attacks ⋮ Event‐triggered model‐free adaptive predictive control for multiple‐input and multiple‐output networked control systems under deception attacks ⋮ Dynamic output feedback model predictive control for asynchronous Markovian jump systems under try‐once‐discard protocol ⋮ Dynamic event‐triggered control for delayed switched neural networks: A merging signal scheme

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