文献类型：期刊文献

英文题名：Dynamic Event-Triggered Sliding Mode Control: Dealing With Slow Sampling Singularly Perturbed Systems

作者：Song, Jun[1];Niu, Yugang[1]

机构：[1]East China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China

年份：2020

卷号：67

期号：6

起止页码：1079

外文期刊名：IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS

收录：;EI(收录号：20202308798641);WOS:【SCI-EXPANDED(收录号:WOS:000543066100023)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61673174 and Grant 61803255, in part by the Shanghai Sailing Program under Grant 19YF1412100, and in part by 111 Project from China under Grant B17017.

语种：英文

外文关键词：Dynamic event-triggered mechanism; sliding mode control; singularly perturbed systems; slow sampling

摘要：This brief endeavors to investigate the sliding mode control (SMC) issue of the networked singularly perturbed systems (SPSs) under slow sampling. For the energy saving purpose in network communication, a dynamic event-triggered mechanism is introduced to SMC design. By considering the structure characteristics of the controlled system, a novel sliding function is constructed with taking the singular perturbed matrix Ee into account properly. With the aid of some appropriate Lyapunov functionals, the sufficient conditions are derived to ensure the asymptotic stability of the sliding mode dynamics and the reachability of the specified sliding surface. Besides, it is shown that the quasi-sliding motion is dependent on the dynamic event-triggered parameters and its bound converges to a constant. The solving algorithm for the dynamic event-triggered SMC law is formulated in a convex optimization framework. Finally, an numerical example is provided to illustrate the effectiveness of the proposed results.