Observer-Based Finite-Time T–S Fuzzy Sliding Mode Controller Design for Unmanned Marine Vehicles Against Hybrid Attacks

This article focuses on the development of an observer-based finite-time Takagi–Sugeno (T–S) fuzzy sliding mode control strategy for unmanned marine vehicles (UMVs) under hybrid cyberattack scenarios. To relieve the communication burden for the industrial control network, a new dynamic memory-based event-triggered protocol (ETP) is properly put forward, which concerns the historically released data and two auxiliary dynamic variables. Due to the influence of aperiodic spoofing attacks and denial of service (DoS) attacks, the T–S fuzzy model of UMVs is transformed into a framework of stochastic switched T–S fuzzy systems. In the light of the T–S fuzzy observer, a memory-based T–S fuzzy sliding mode controller is constructed concerning the DoS attacks and spoofing attacks. Criteria of finite-time stable for the closed-loop stochastic switched T–S fuzzy systems are attained for the reaching stage and sliding mode stage. By means of the orthogonal decomposition method, a cooptimization method for the observer, controller, and weight matrix within the dynamic memory-based ETP framework is obtained. Eventually, a benchmark UMV is employed to validate the efficacy of the developed methodology.