控制理论与应用2017，Vol.34Issue(3)：375-382,8.DOI:10.7641/CTA.2017.60509
严格反馈非线性系统的自适应神经网络输出反馈控制
Adaptive neural output feedback control for strict feedback nonlinear system
摘要
Abstract
Based on nonlinear feedback function, this paper investigates output feedback control problem for a class of nonlinear systems. In the case of systems with uncertain functions, nonlinear feedback neural network observer estimates system states in real time. Employing the obtained state signals, an adaptive neural network controller is designed to guarantee the stability of the closed-loop system and the boundedness of all signals. The desired closed-loop tracking performance can be achieved by adjusting the value of the design parameters. Numerical simulation results show that, without state transformation, the state observer overcomes the chattering problem caused by the output feedback sliding mode controller.关键词
状态观测器/动态面控制/自抗扰控制/神经网络Key words
state observer/dynamic surface control/active disturbance rejection control/neural network分类
信息技术与安全科学引用本文复制引用
孙国法,田宇,王素珍..严格反馈非线性系统的自适应神经网络输出反馈控制[J].控制理论与应用,2017,34(3):375-382,8.基金项目
中国博士后科学基金项目(2013M541939),国家自然科学基金项目(61640302)资助. Supported by China Postdoctoral Science Foundation (2013M541939) and National Natural Science Foundation of China (61640302). （2013M541939）
