Adaptive neural network-based security asynchronous control for uncertain Markov jump power systems with dead zone under DoS attack
DOI10.1002/RNC.7420zbMATH Open1545.93267MaRDI QIDQ6591149
Bo Wang, Enjun Liu, Meiqin Liu, G. Chen, Shanling Dong
Publication date: 21 August 2024
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
adaptive neural network controlhidden Markov modelMarkov jumpdenial-of-service attackinput dead zone
Feedback control (93B52) Adaptive control/observation systems (93C40) Stochastic stability in control theory (93E15) Networked control (93B70)
Cites Work
- Stability Analysis of Power Systems: A Network Synchronization Perspective
- Asynchronous H∞ filtering of continuous‐time Markov jump systems
- Decentralized control of power systems via robust control of uncertain Markov jump parameter systems
- Model-Predictive Control for Markovian Jump Systems Under Asynchronous Scenario: An Optimizing Prediction Dynamics Approach
- Asynchronous output feedback control for Markov jump systems under dynamic event‐triggered strategy
- Asynchronous observer‐based sliding mode control for 2‐D Markov jump Roesser systems
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