脉冲(物理)
控制理论(社会学)
事件(粒子物理)
计算机科学
理论(学习稳定性)
控制(管理)
离散时间和连续时间
方案(数学)
算法
数学
统计
人工智能
数学分析
物理
量子力学
机器学习
作者
Kexue Zhang,Elena Braverman
标识
DOI:10.1080/00207179.2023.2201643
摘要
AbstractThis paper studies the problem of event-triggered impulsive control for discrete-time systems. A novel periodic event-triggering scheme with two tunable parameters is presented to determine the moments of updating impulsive control signals which are called event times. Sufficient conditions are established to guarantee asymptotic stability of the resulting impulsive systems. It is worth mentioning that the event times are different from the impulse times, that is, the control signals are updated at each event time but the actuator performs the impulsive control tasks at a later time due to time delays. The effectiveness of our theoretical result with the proposed scheme is illustrated by three examples.Keywords: Discrete-time systemtime delayperiodic event-triggered controlimpulsive controlasymptotic stability AcknowledgmentsThe authors are grateful to anonymous reviewers whose valuable comments helped improve the quality of this study.Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis work was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) under grants RGPIN-2020-03934 and RGPIN-2022-03144.
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