Adaptive neuro-network-based output-feedback variable structure control for a class of affine nonlinear systems
一类仿射非线性系统的自适应神经网络输出反馈变结构控制

Based on the results of prior work, we employ the neuro-network parameterization and adaptive variable structure control to propose an output-feedback control for a class of nonlinear affine systems, avoiding the requirement of the strictly positive realness(SPR) condition. This scheme ensures the desired contraction in control, the boundedness of steady-states and the stability of the closed-loop system. It also provides an easy and clear way for selecting the parameters of the observer and the controller.