Protocol-based fuzzy switching systems with dynamically attack compensation strategy

Yucheng Xu

doi:10.1016/j.fss.2025.109526

Protocol-based fuzzy switching systems with dynamically attack compensation strategy

2025-08-06

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DOI：10.1016/j.fss.2025.109526

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This study addresses the issue of attack-compensated output control for fuzzy switching systems using a probabilistic multi-interval event-triggered protocol (PMIETP) and nonhomogeneous sojourn probability information. To optimize system performance and enhance flexibility, a novel PMIETP with a dynamically adjustable triggering threshold is developed. This mechanism efficiently captures the triggering threshold by integrating sub-interval triggering thresholds with a probability distribution model. A time-varying saturation function with an adaptive threshold is introduced to mitigate the effects of abnormal data due to cyber-attacks, thereby enhancing estimation performance with greater flexibility. Furthermore, to counteract the impact of false data injection attacks, a novel attack-compensated output control strategy incorporating dynamic attack compensation is proposed. Utilizing Lyapunov theories, sufficient conditions for the stochastic finite-time boundedness of fuzzy switching systems are derived. Eventually, the effectiveness and superiority of the theoretical results are demonstrated through a simulation example.

Keywords:

fuzzy switching systems

probabilistic multi-interval event-triggered protocol

attack-compensated output control

nonhomogeneous sojourn probability

stochastic finite-time boundedness

Protocol-based fuzzy switching systems with dynamically attack compensation strategy

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