In this paper, a higher-order sampled-data iterative learning control method is presented for nonlinear system with relative degree and output time delays. The higher-order learning algorithm does not include numerica...
详细信息
ISBN:
(纸本)9783642278655
In this paper, a higher-order sampled-data iterative learning control method is presented for nonlinear system with relative degree and output time delays. The higher-order learning algorithm does not include numerical differentiations of any error order. A sufficient condition is proposed that the iterative learning control converges to the desired trajectory at each sampling instant if some Lipschiz conditions are satisfied and the sampling period is small enough. A simulation example shows that higher-orderalgorithm has larger convergence rate.
暂无评论