期刊
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
卷 53, 期 5, 页码 3129-3140出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2022.3222491
关键词
Data-driven control (DDC); dynamic linearization; event-triggered (ET) control
This article presents a data-driven control method for networked nonlinear systems with event-triggered output. It constructs an improved extended state observer to estimate unknown disturbances and builds an output estimator based on the triggered output and the estimated output. The triggering conditions for different systems are proposed by integrating the estimated disturbances, tracking errors, and actual errors. The effectiveness of the proposed strategies is verified through numerical examples.
This article is dedicated to data-driven control of networked nonlinear systems with event-triggered output. An improved extended state observer is constructed to estimate unknown disturbances. An output estimator is built on the triggered output and the estimated output. Consequently, triggering conditions for single-input single-output and multiple-inputs and multiple-outputs systems are individually proposed by integrating the estimated disturbances, the true and the estimated tracking errors. Sufficient conditions are established to guarantee that the resultant tracking error systems are uniformly ultimately bounded. The proposed strategies are verified by illustrative numerical examples.
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