H_/H∞ cyber-attack detection for linear parameter time-varying multi-agent systems under false data injection attack
In this paper,we focus on the cyber-attack detection problem in false data injection attacks with packet dropouts scenarios for linear parameter time-varying multi-agent systems.The H_/H performance indexes are used to design the false data injection attack detection filter.The H_performance index is used to improve the detection accuracy of the attack detector and the H∞performance index is used to enhance the robustness of the detector module,respectively.Modelling the packet dropout phenomenon as Bernoulli process.According to stochastic stability theory,the feasibility problem of linear matrix inequality is transformed into a multi-objective ultimate problem for solving the optimal detector filter gains.The effectiveness of the designed attack detection filter is verified by numerical simulation.
time-varying multi-agent systemsstochastic stability theoryfalse data injection attacks
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