芝诺悖论
控制理论(社会学)
控制(管理)
班级(哲学)
跟踪误差
计算机科学
事件(粒子物理)
内部模型
数学
人工智能
物理
几何学
量子力学
作者
Jieshuai Wu,Maobin Lu,Fang Deng,Jie Chen
出处
期刊:IEEE transactions on cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2023-01-31
卷期号:53 (11): 7333-7341
被引量:15
标识
DOI:10.1109/tcyb.2023.3235731
摘要
In this article, the robust output regulation problem of the linear uncertain system is investigated by the event-triggered control approach. Recently, the same problem is addressed by an event-triggered control law where the Zeno behavior may happen when time tends to infinity. In comparison, a class of event-triggered control laws is developed to achieve output regulation exactly, and meanwhile, explicitly exclude the Zeno behavior for all time. In particular, a dynamic triggering mechanism is first developed by introducing a dynamic changing variable with specific dynamics. Then, by the internal model principle, a class of dynamic output feedback control laws is designed. Later, a rigorous proof is provided to show that the tracking error of the system converges to zero asymptotically while prohibiting the Zeno behavior for all time. Finally, we give an example to illustrate our control approach.
科研通智能强力驱动
Strongly Powered by AbleSci AI