您现在的位置:首页> 中文期刊>中国科学 >文献详情

Adaptive event-triggered control for a class of nonlinear systems with periodic disturbances

【摘要】This paper investigates the adaptive event-triggered control problem for a class of nonlinear systems subject to periodic disturbances. To reduce the communication burden, a reliable relative threshold strategy is proposed. Fourier series expansion and radial basis function neural network are combined into a function approximator to model suitable time-varying disturbed function of known periods in strict-feedback systems. By combining the Lyapunov stability theory and the backstepping technique, the proposed adaptive control approach ensures that all the signals in the closed-loop system are bounded, and the tracking error can be regulated to a compact set around zero in finite time. Finally, simulation results are presented to verify the effectiveness of the theoretical results.

【期刊名称】 中国科学

【作者】Hui MA;Hongyi LI;Renquan LU;Tingwen HUANG;

【作者单位】School of Automation and Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control Guangdong University of Technology Guangzhou 510006 China; Science Program Texas A&M University at Qatar Doha 23874 Qatar;

【收录信息】;

【年(卷),期】2020(063),005

【年度】2020

【页码】P.157-171

【总页数】15

【原文格式】PDF

【正文语种】chi

【中图分类】O17;

【关键词】nonlinear systems; event-triggered control; periodic disturbances; Fourier series expansion; finite time;

联系方式:18141920177 (微信同号)

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-1 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号