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Published on: November 24, 2021
Event-triggered data-driven control of discrete-time nonlinear systems with unknown disturbance
Xianming Wang1, Wen Qin1, Ju H Park2
1College of Electrical Engineering and Control Science, Nanjing Technology University, Nanjing, 211816, China.
Abstract:
This paper is dedicated to event-triggered data-driven control of nonlinear systems with unknown disturbance via model free iterative learning approach. An extended state observer is employed to reconstruct the disturbance in system output. An event-triggered model free iterative learning control strategy is constructed by system input, system output and the reconstructed disturbance. Sufficient conditions are proposed to make the resultant tracking error system be uniform ultimate bounded. Simulation examples are provided to validate the effectiveness of the proposed scheme.
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