论文部分内容阅读
针对多输入-多输出(MIMO)非线性系统基于模糊基函数向量提出了一种新的自适应控制方法.在该方法中,首先将非线性系统线性化,然后利用模糊基函数向量自适应学习系统不确定向量的上界,模糊基函数向量可作为补偿控制器的一个参数.在控制系统的设计过程中可充分保证非线性控制系统的鲁棒性和跟踪误差的渐进收敛性
A new adaptive control method based on fuzzy basis function vector is proposed for multi-input-multiple output (MIMO) nonlinear systems. In this method, the nonlinear system is first linearized and then adaptive learning based on fuzzy basis function vector The upper bound of the system uncertain vector and the fuzzy basis function vector can be used as a parameter of the compensation controller.The robustness of the nonlinear control system and the asymptotic convergence of the tracking error can be fully guaranteed in the design of the control system