基于模糊网络的非线性不确定系统的迭代学习控制

Iterative Learning Control of Nonlinear and Uncertain Systems Based on Fuzzy Network

针对非线性不确定系统 ,为保证受控制系统的响应特性 ,应用模糊网络理论构建了非线性系统的模糊模型 ;基于模糊模型给出了模糊迭代学习控制算法 .实例分析和仿真验证表明 ,所给算法能跟踪系统参数变化 ,并且能自动调整控制增益 ,对于系统的扰动影响具有鲁棒性 。

For non linear uncertain system, to guarantee response properties of the controlled system, a fuzzy model of the non linear system is constructed using fuzzy network theory. Iterative learning control algorithm is pre sented based on the fuzzy model. It is shown by example analysis and simulation verification that the scheme can follow parameters change of the system and can self turn control gain. It has robustness to disturbance of the system. And it is an efficient control scheme in the practice.