摘要
研究带有输入死区和输出受限的非线性系统自适应控制.利用径向基函数神经网络逼近系统的未知非线性项和有界扰动,使用障碍李雅普诺夫函数约束系统的输出,基于李雅普诺夫稳定性原理构造控制器.仿真结果表明该控制器具有有效性.
The adaptive control problem was studied for a class of strict feedback nonlinear system with input dead zones and output constraints. The radial basis function neural network was used to approximate the unknown nonlinear terms and bounded disturbances. The output of the system was constrained by barrier Lyapunov function. Based on Lyapunov stability principle, the controller was designed. The simulation results showed that the controller was effective.
作者
曾文
李志刚
高闯
陈雪波
ZENG Wen;LI Zhigang;GAO Chuang;CHEN Xuebo(School of Electronic and Information Engineering,University of Science and Technology Liaoning,Anshan 114051,China)
出处
《安徽大学学报（自然科学版）》
CAS
北大核心
2019年第6期63-69,共7页
Journal of Anhui University(Natural Science Edition)
基金
国家自然科学基金资助项目(71571091,71771112).
