This paper is concerned with a Takagi-Sugeno (T-S) fuzzy dynamic positioning controller design for an unmanned marine vehicle (UMV) in network environments. Network-based T-S fuzzy dynamic positioning system (DPS) models for the UMV are first established. Then, stability and stabilization criteria are derived by taking into consideration an asynchronous difference between the normalized membership function of the T-S fuzzy DPS and that of the controller. The proposed stabilization criteria can stabilize states of the UMV. The dynamic positioning performance analysis verifies the effectiveness of the networked modeling and the controller design.

中文翻译：

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基于网络的T__无人船模糊动态定位控制器设计


本文涉及网络环境下无人船（UMV）的 Takagi-Sugeno（TS）模糊动态定位控制器设计。首次建立了UMV基于网络的TS模糊动力定位系统（DPS）模型。然后，通过考虑 TS 模糊 DPS 的归一化隶属函数与控制器的归一化隶属函数之间的异步差异，导出稳定性和稳定准则。所提出的稳定标准可以稳定 UMV 的状态。动态定位性能分析验证了网络化建模和控制器设计的有效性。