Robust Event-Triggered Control Subject to External Disturbance
Author(s) -
Pengpeng Zhang,
Tengfei Liu,
ZhongPing Jiang
Publication year - 2017
Publication title -
ifac-papersonline
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 72
eISSN - 2405-8971
pISSN - 2405-8963
DOI - 10.1016/j.ifacol.2017.08.752
Subject(s) - disturbance (geology) , control theory (sociology) , bounded function , event (particle physics) , computer science , state (computer science) , sampling (signal processing) , stability (learning theory) , control (management) , mathematics , physics , algorithm , artificial intelligence , paleontology , mathematical analysis , quantum mechanics , machine learning , biology , filter (signal processing) , computer vision
This paper studies the event-triggered control problem for systems subject to both dynamic uncertainties and external disturbances. To overcome infinitely fast sampling caused by the disturbance, a new event-triggering mechanism is proposed, which uses not only the measurable system state but also an estimate of the unmeasurable state and the external disturbance. The inter-sampling intervals can be proved to be lower bounded by a positive constant, which is independent on the magnitudes of the unmeasurable state and the external disturbance. With the proposed design, the closed-loop event-triggered system can be input-to-state stabilized with the external disturbance as the input. Refined tools of input-to-state stability (ISS) and the small-gain theorem are employed in solving the problem.
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