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• W4312874178 abstract "We present two optimization approaches to minimize the impact of sensor falsification attacks in linear time invariant systems controlled by estimate-based feedback. We accomplish this by finding observer and controller gain matrices that minimize outer ellipsoidal bounds that contain the reachable set of attack-induced states. To avoid trivial solutions, we involve a covariance-based <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink><tex-math notation=LaTeX>$Vert HVert _{2}$</tex-math></inline-formula> closed-loop performance constraint. This exposes a trade-off between system security and closed-loop performance and demonstrates that only small concessions in performance can lead to large gains in our reachability-based security metric. We provide both a nonlinear optimization based on geometric sums and a fully convexified approach formulated with linear matrix inequalities. We demonstrate the effectiveness of these tools on two numerical case studies." @default.
• W4312874178 created "2023-01-05" @default.
• W4312874178 creator A5054637010 @default.
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• W4312874178 date "2023-09-01" @default.
• W4312874178 modified "2023-10-11" @default.
• W4312874178 title "Co-Design for Resilience and Performance" @default.
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• W4312874178 doi "https://doi.org/10.1109/tcns.2022.3229774" @default.
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