Adaptive Output Feedback Control of Nonaffine Nonlinear Time-delay Systems with Input Hysteresis Nonlinearities by Neural Network Approach

摘要

In this paper, neural networks based adaptive output-feedback tracking controller is investigated for a class of pure-feedback nonlinear systems with unknown time delay and input hysteresis nonlinearities. By combining the adaptive back-stepping recursive design technique with the universal approximation ability of neural networks, an output-feedback controller is systemically designed for the system under consideration. It is shown that the proposed controller can guarantee that all the signals are ultimately uniformly bounded and the desired signal can be tracked with a small domain of the origin. A real plant for adjustable metal cutting system are provided to show the feasibility of the proposed method.