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模糊隶属函数是模糊系统的重要组成部分,在系统镇定中考虑其结构和参数信息可以减少结果的保守性.为此,针对连续时间T-S模糊系统的二次镇定问题,提出一种新的放松二次镇定条件.运用一种有效的附加变量引入方式将隶属函数乘积界这一信息更好地纳入系统的镇定条件中,得到了比以往文献保守性更小的结果.所有结果均以线性矩阵不等式形式给出.仿真结果验证了所提出方法的有效性.
Fuzzy membership function is an important part of fuzzy system. Considering its structure and parameter information in system stabilization can reduce the conservativeness of the result. Therefore, aiming at the quadratic stabilization problem of continuous-time TS fuzzy system, a new relaxation II Sub-stationary conditions.An efficient way of introducing additional variables is used to better integrate the information of the product function of the membership functions into the system’s stabilization condition and to obtain the results that are less conservative than the previous literature.All the results are based on the linear matrix inequality The simulation results verify the effectiveness of the proposed method.