基于T-S模糊模型的辨识与控制

摘要

针对一类非线性系统,采用模糊辫识的方法建立系统的T-S模型,结合广义预测控制对模糊预测控制进行研究.应用模糊聚类和递推最小二乘法辫识T-S模糊模型的前提结构和结论参数.对于非线性系统来讲,T-5模糊模型有良好的描述特性,并结合广义预测控制的滚动优化,实现对非线性系统的有效控制.仿真结果说明了该算法的有效性.%A T-S fuzzy model was established for nonlinear system by a fuzzy identification method,fuzzy predictive control was developed by combining with generalized predictive control. Structure and parameters of T-S fuzzy model were identified by using fuzzy clustering and reeursive least squares. In terms of the nonlinear system, T-S fuzzy model has a good description of features, combined with the moving optimization of generalized predictive control to achieve effective control of nonlinear systems. The simulation results show that the algorithm is effective.