针对一类不确定的T-S模糊模型,给出了反馈控制器存在的充分条件,该控制器使得闭环极点被配置在给定的线性矩阵不等式(LMI)区域内,同时满足系统对H∞范数和方差约束的要求。基于这一条件和并行分布补偿技术(PDC),借助于LMI和凸优化方法,得出一个全局鲁棒H∞控制器的解析式。最后,通过一个仿真例子,说明该方法的可行性。
For a class of uncertain T-S fuzzy models, a sufficient and necessary condition for the existence of state feedback control law which assigns the closed-loop poles in a linear matrix inequality (LMI) region in the complex plane and guarantees an H∞-norm bounded constraint and covariance constraint is derived. Based on this condition and the technique of parallel distributed compensator (PDC), a global robust H∞ controller ensuring the closed-loop system to be regionally stable is designed by means of the linear matrix inequality and convex optimization technique. A numerical example shows the method is feasible.