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- W3049363738 abstract "In this paper, the model predictive control (MPC) problem is investigated for the cyber-physical system (CPS) with deception attacks. The proposed MPC takes the mixed H <inf xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</inf> / H <inf xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>∞</inf> performance index into consideration, by which the attacked system performance can be optimized and the robustness of the CPS can be satisfied. Besides, the cone complementarity linearization (CCL) method is introduced to address the non-convex issue and further the controller gains of the MPC are design. Moreover, the sufficient conditions that guarantee the recursive feasibility of the proposed MPC is demonstrated. Finally, the mass-spring-damping system is used to illustrate the validity of the presented control strategy." @default.
- W3049363738 created "2020-08-21" @default.
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- W3049363738 date "2020-08-01" @default.
- W3049363738 modified "2023-09-26" @default.
- W3049363738 title "MPC for the Cyber-Physical System with Deception Attacks" @default.
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- W3049363738 doi "https://doi.org/10.1109/ccdc49329.2020.9163909" @default.
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