一种混沌鲁里叶系统的T-S模糊控制方法

摘要

This paper proposes a new fuzzy control method of Lurie chaotic system. Based on the T-S fuzzy model, the Lurie system is reconstructed. The fuzzy feedback control method for the Lurie chaotic system is designed using feedback control concept, and the method proposed consider sufficiently the interactions among the fuzzy sub-system, and the sufficient conditions which guarantee T-S fuzzy system asymptotically stable are proposed, using Lyapunov exponent stability theory, and the parallel distributed compensation technique is applied to design a state feedback controller for the chaotic systems. By using LM1 constrains, the parameters of fuzzy controller can be obtained. The simulation results show the effectiveness of the method proposed.%研究鲁里叶混沌系统的稳定控制问题,提出一种新型模糊控制方法.利用李亚普诺夫指数稳定定理和反馈控制思想,在用T-S模糊模型重构系统结构的基础上,给出连续T-S模糊模型指数稳定的充分条件,并设计出一种基于并行分布补偿技术的状态反馈控制器.再用线性矩阵不等式求出模糊控制器的参数.仿真结果良好,验证了控制器的有效性.