Key result
Interval functional observers were successfully designed for time-delay systems under stealthy attacks using linear programming techniques, with effectiveness demonstrated via simulations.
The study provides a novel computational technique using linear programming to design interval functional observers for time-delay systems compromised by stealthy sensor attacks.
May enable secure estimation in attacked time-delay systems; leaves open hardware validation beyond simulations.
This study considers stealthy attacks in the design of interval functional observers for time-delay systems. We are interested in the case where a malicious agent compromises the sensors of the systems. We first design reduced-order observers to estimate bounds of the attack signals. Then by using the information on the bounds of the attack signals, we design novel interval functional observers for the systems. We derive conditions for the existence of the interval observers and formulate them in terms of linear programmings which are very efficient computational techniques. Two illustrative examples with extensive simulations are given to show correctness and effectiveness of the proposed method.
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Huong et al. (2020) studied this question. Interval functional observers was evaluated. Interval functional observers were successfully designed for time-delay systems under stealthy attacks using linear programming techniques, with effectiveness demonstrated via simulations.
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