控制理论(社会学)
非线性系统
计算机科学
区间(图论)
指数稳定性
理论(学习稳定性)
事件(粒子物理)
控制(管理)
数学
物理
人工智能
量子力学
组合数学
机器学习
作者
Jiankun Sun,Jun Yang,Wei Xing Zheng,Shihua Li
出处
期刊:IEEE Transactions on Circuits and Systems I-regular Papers
[Institute of Electrical and Electronics Engineers]
日期:2021-12-07
卷期号:69 (3): 1302-1311
被引量:22
标识
DOI:10.1109/tcsi.2021.3131663
摘要
In this paper, the output feedback based periodic event-triggered control problem is considered for a class of nonminimum-phase nonlinear systems via dynamic event-triggering mechanism. When only the sampled-data output is known, a new periodic event-triggered control method is proposed via output feedback and the control input updates based on a discrete-time dynamic event-triggering condition. Despite the unstable zero dynamics, the proposed control method can asymptotically stabilize the hybrid control systems by closing the loop only when it is necessary. In contrast to the continuous-time static one, the proposed dynamic triggering condition has several advantages including the easier digital implementation and the larger average inter-event time interval. The delicate analysis gives the explicit expression of the maximum allowable sampling period, and the global asymptotic stability can be achieved for the hybrid control systems. Finally, the effectiveness of the proposed periodic event-triggered control method is verified by a numerical simulation.
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