期刊
SCIENCE CHINA-INFORMATION SCIENCES
卷 63, 期 5, 页码 -出版社
SCIENCE PRESS
DOI: 10.1007/s11432-019-2680-1
关键词
nonlinear systems; event-triggered control; periodic disturbances; Fourier series expansion; finite time
资金
- National Key RAMP
- D Program of China [2018YFB-1700400]
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.
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