In this paper, the problem of secure dynamic positioning control (DPC) for a network-based T-S fuzzy unmanned marine vehicle (UMV) systems is addressed. Firstly, a Takagi-Sugeno (T-S) fuzzy system model is adopted to model the nonlinear dynamics of UMV systems. Then, a semi-Markovian jumping system approach is introduced to describe the unknown DoS attack phenomenon. In order to reduce the communication burden, an event-based communication scheme is proposed. By means of the Lyapunov stability analysis method and semi-Markovian jumping system approach, the sufficient conditions are devised such that the closed-loop dynamic positioning system (DPS) is robust stochastically stable. Furthermore, by solving a few LMIs, the controller gain parameters can be derived. Finally, an illustrative example of networked T-S fuzzy UMV system is established to verify the proposed control algorithm.

在本文中，解决了基于网络的 TS 模糊无人船 (UMV) 系统的安全动态定位控制 (DPC) 问题。首先，采用 Takagi-Sugeno (TS) 模糊系统模型对 UMV 系统的非线性动力学进行建模。然后，引入半马尔可夫跳跃系统方法来描述未知的DoS攻击现象。为了减少通信负担，提出了基于事件的通信方案。通过李雅普诺夫稳定性分析方法和半马尔可夫跳跃系统方法，设计了闭环动态定位系统（DPS）鲁棒随机稳定的充分条件。此外，通过求解几个 LMI，可以推导出控制器增益参数。最后，