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Derivative-based event-triggered control for networked systems with quantization

Shen Yan, Fan Yang and Zhou Gu

Applied Mathematics and Computation, 2020, vol. 383, issue C

Abstract: This paper is devoted to the problem of derivative-based event-triggered control for linear networked systems with quantization. A novel type of event-triggered mechanism (ETM) is presented via involving a derivative term related with the Lyapunov functional. Inspired by this introduced derivative term, we call the proposed ETM as derivative-based event-triggered mechanism (DETM). In the conventional ETM, the triggering condition is always needed to be less than zero to ensure the system stability, while it is not required under the proposed DETM. Then, with the help of linear matrix inequality (LMI) technique, sufficient conditions for co-designing the triggering matrix and an event-triggered controller are derived. The corresponding results are also applied to event-triggered control systems with time-varying transmission delay. The validity of the developed approach is illustrated by some simulation examples.

Keywords: Event-triggered control; Co-design; Quantization; Transmission delay, (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:383:y:2020:i:c:s0096300320303234

DOI: 10.1016/j.amc.2020.125359

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