LEARNING CONTROL FOR NONLINEAR SYSTEMS USING NEURAL NETWORKS

In this paper, an iterative learning controller using neural networks is presented for a class of nonlinear systems. It is discussed that the proposed controller scheme for nonlinear systems can achieve the desired trajectory tracking after several trials. In addition, the improved algorithm is employed in neural networks, resulting in lower computation of burden and faster convergence of learning.