This paper is concerned with resilient sliding mode control (SMC) of an unmanned marine vehicle (UMV) system in a finite-time stability (FTS) framework, where the networks designed for communication between an UMV and a land-based control station are subject to denial-of-service (DoS) attacks and the actuators are affected by stochastic failures. First, a Takagi–Sugeno (T-S) fuzzy approach is proposed to model a nonlinear UMV, and the stochastic actuator failure phenomenon is modeled as a continuous Markov process. Then, a new resilient SMC method is proposed to ensure the FTS of the UMV system subject to DoS attacks of different intensities. In addition, a partitioning strategy is introduced to ensure that the reaching motion and sliding mode motion satisfy the conditions of FTS. Theoretical analysis shows that the obtained closed-loop system can achieve FTS performance. Finally, the devised control strategy is confirmed by a simulated UMV system.
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