针对一般混沌系统模糊脉冲控制问题,提出了一种基于时变Lyapunov函数的分析方法。与时不变的Lyapunov函数方法相比,该方法能充分利用脉冲区间的信息,从而推导出具有较少保守性的结果。不同于已有的结果,所得到系统的全局指数稳定性条件同时依赖于脉冲区间的上界和下界。该稳定性条件表示为线性矩阵不等式形式。通过求解一组线性矩阵不等式,得到镇定混沌系统的模糊脉冲状态反馈控制器。提出的脉冲镇定方案应用于超混沌吕氏系统的镇定问题,所得结果证实了该方法的有效性。
A novel analysis method for the fuzzy impulsive control of general chaotic systems is presented by using the time-dependent Lyapunov function-based technique. Compared with the time-independent Lyapunov function method, the proposed method can make full use of the information about the impulsive intervals and provides less conservative results. Being different from the existing results, the derived condition for global exponential stability of the system under consideration depends both on the upper bound and the lower bound of the impulsive intervals. This condition is expressed in terms of linear matrix inequalities (LMIs). By solving a set of LMIs, a fuzzy impulsive state feedback controller can easily be obtained. Finally, the proposed impulsive control scheme is applied to the stabilization of the hyperchaotic Lü system. The simulation results demonstrate the effectiveness of the developed method.