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

被引：260

作者：

Ma, Hui ^{[1
,2
]}

Li, Hongyi ^{[1
,2
]}

Lu, Renquan ^{[1
,2
]}

Huang, Tingwen ^{[3
]}

机构：

[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China

[2] Guangdong Univ Technol, Guangdong Prov Key Lab Intelligent Decis & Cooper, Guangzhou 510006, Peoples R China

[3] Texas A&M Univ Qatar, Sci Program, Doha 23874, Qatar

来源：

SCIENCE CHINA-INFORMATION SCIENCES | 2020年 / 63卷 / 05期

关键词：

nonlinear systems; event-triggered control; periodic disturbances; Fourier series expansion; finite time; STABILIZATION; TRACKING;

D O I：

10.1007/s11432-019-2680-1

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页数：15

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