引用本文:丁三波,刘旭,王勇,杨德东.不确定系统的事件触发控制: 近似解输入法[J].控制理论与应用,2021,38(9):1399~1406.[点击复制]
DING San-bo,LIU Xu,WANG Yong,YANG De-dong.Event-triggered control for uncertain systems: an approximate solution input method[J].Control Theory and Technology,2021,38(9):1399~1406.[点击复制]
不确定系统的事件触发控制: 近似解输入法
Event-triggered control for uncertain systems: an approximate solution input method
摘要点击 2046  全文点击 748  投稿时间:2020-06-24  修订日期:2021-08-14
查看全文  查看/发表评论  下载PDF阅读器
DOI编号  10.7641/CTA.2021.00387
  2021,38(9):1399-1406
中文关键词  事件触发控制  近似解输入法  不确定系统  动态触发
英文关键词  event-triggered control  approximate solution input method  uncertain systems  dynamic triggering
基金项目  国家自然科学基金项目(61903121), 河北省省自然科学基金项目(F2020202063), 河北省创新能力提升计划项目(18961604H)资助.
作者单位E-mail
丁三波* 河北工业大学 dingsanbo@163.com 
刘旭 河北工业大学  
王勇 河北工业大学  
杨德东 河北工业大学  
中文摘要
      针对一类不确定非线性系统的事件触发控制问题, 提出了一种近似解输入法的控制策略. 首先, 对非线性 系统进行线性化处理, 以便于构造系统的近似解. 其次, 根据确定线性系统解析解的定义, 利用系统矩阵和采样信号 信息, 逐段地构造不确定非线性系统的近似解. 将测量误差定义为系统当前状态与近似状态之间的差, 构造事件触 发条件和控制器, 并建立相关的稳定性判据. 本文证明了所提此方法可有效避免Zeno现象, 并将其推广到动态触发 控制方案, 得到进一步提高的结果. 最后, 通过仿真对比验证了本文方法的有效性.
英文摘要
      This paper investigates the event-triggered control for a class of uncertain nonlinear systems by proposing an approximate solution input method. First, the nonlinear systems are linearized to the linear ones aiming to construct the approximate solution. Second, according to the definition of the solution of the deterministic linear systems, we construct the piecewise approximate solution for the uncertain nonlinear systems by utilizing the matrix parameters and sampled signals. The measurement error is defined as the difference between the actual states and approximate states of the systems. Thereafter, the event-triggered condition and controller are designed, respectively. The stability conditions are also developed correspondingly. It is proved that the proposed method can effectively avoid the Zeno phenomenon. The proposed method is also extended to the dynamic triggering method, and some improved results are developed. Finally, the effectiveness of the proposed methods is verified by comparison examples.