控制理论(社会学)
理论(学习稳定性)
凸优化
计算机科学
控制(管理)
线性系统
采样数据系统
控制系统
正多边形
数学
工程类
几何学
电气工程
机器学习
数学分析
人工智能
作者
Daniel V. Zanette,Alessandra Helena Kimura Palmeira,L. G. Moreira,João Manoel Gomes da Silva
标识
DOI:10.23919/ecc54610.2021.9654430
摘要
This paper proposes a periodic event-triggered control (PETC) strategy for continuous-time linear parameter-varying (LPV) systems. Considering a sampled-data LPV control law and a parameter-dependent looped-functional to deal with the sampling effects, LMI conditions to design the parameters of the triggering criterion leading to the stability of the closed-loop system under the PETC strategy are proposed. These conditions are then incorporated into a convex optimization problem in order to design the triggering rule parameters aiming at reducing the frequency of control signal updates. A numerical example illustrates the proposed method.
科研通智能强力驱动
Strongly Powered by AbleSci AI