控制理论(社会学)
扰动(地质)
控制器(灌溉)
计算机科学
网络控制系统
帧(网络)
控制系统
理论(学习稳定性)
观察员(物理)
控制工程
事件(粒子物理)
控制(管理)
工程类
人工智能
物理
古生物学
机器学习
电气工程
生物
电信
量子力学
农学
作者
Peng Zhou,Muhammad Adnan,Yang Yi,Mingsong Du,Wei Xing Zheng
标识
DOI:10.23919/ccc55666.2022.9902683
摘要
This paper discusses an effective anti-disturbance control algorithm for the typical networked control systems (NCSs) under the event-triggered frame. Firstly, a disturbance observer (DO) is designed to dynamical estimate unknown exogenous disturbances. Secondly, in order to reduce the usage of channels, the event-triggered instead of the periodic sampling mechanism is used. By combining the networked state feedback control with the estimation value of disturbances, an event-triggered composite controller can be proposed based on the designed trigger condition. An LMI-based algorithm is given to compute the controller gain and the observer gain, where the stability of the closed-loop NCSs can further be proved. Finally, the dynamical simulation results of A4D models can show the feasibility of the proposed algorithm.
科研通智能强力驱动
Strongly Powered by AbleSci AI