New Methods of Fuzzy Sampled-Data Control for Stabilization of Chaotic Systems
针对用T-S模糊模型表示的混沌系统，提出了两种新的采样数据控制器设计方法，能在较大采样周期下实现系统稳定，并通过数值例子展示了优越性。
This paper focuses on developing new design methods of the sampled-data controller for chaotic systems which are represented as Takagi-Sugeno (T-S) fuzzy models. Two novel approaches, sampling-instant-to-present-time fragmentation and free-matrix-based time-dependent discontinuous Lyapunov approach, are proposed for the first time. Based on the two new approaches, the T-S fuzzy sampled-data controller is designed for stabilization of chaotic systems under large sampling period. The superiority of proposed results is shown by a numerical example.