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arxiv: 1909.12452 · v4 · pith:Z6A4CBOW · submitted 2019-09-27 · eess.SY · cs.SY

Co-design for Security and Performance: LMI Tools

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classification eess.SY cs.SY
keywords linearperformanceaccomplishattack-inducedattacksavoidcaseclosed-loop
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We present a convex optimization to reduce the impact of sensor falsification attacks in linear time invariant systems controlled by observer-based feedback. We accomplish this by finding optimal observer and controller gain matrices that minimize the size of the reachable set of attack-induced states. To avoid trivial solutions, we integrate a covariance-based $\|H\|_2$ closed-loop performance constraint, for which we develop a novel linearization for this typically nonlinear, non-convex problem. We demonstrate the effectiveness of this linear matrix inequality framework through a numerical case study.

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