控制理论(社会学)
非线性系统
事件(粒子物理)
理论(学习稳定性)
随机控制
计算机科学
数学
控制(管理)
数学优化
最优控制
量子力学
机器学习
物理
人工智能
作者
Shixian Luo,Feiqi Deng
标识
DOI:10.1109/tac.2019.2916285
摘要
This technical note discusses the stability analysis and design procedure of event-triggered control (ETC) for nonlinear stochastic systems with state-dependent noise. Periodic event-generators and continuous event-generators are considered in both static and dynamic cases. All the event-generators we proposed have a guaranteed positive minimum interevent time for every sample path solution of the systems. It is shown that under the same decay rate, the dynamic event-generators may further reduce the conservatism than their static counterparts. In addition, Riccati-like conditions for global mean square exponential stability of linear stochastic systems under dynamic ETC are established. The theoretical results are illustrated by means of a numerical example.
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