Stability Analysis of Output Feedback Control Systems With a Memory-Based Event-Triggering Mechanism

被引：27

作者：

Davo, Miguel A. ^{[1
]}

Prieur, Christophe ^{[1
]}

Fiacchini, Mirko ^{[1
]}

机构：

[1] Univ Grenoble Alpes, CNRS, GIPSA Lab, F-38000 Grenoble, France

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2017年 / 62卷 / 12期

关键词：

Disturbance rejection; event-triggered control; nonlinear system; sampled-data;

D O I：

10.1109/TAC.2017.2713525

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This work is concerned with the stability analysis of an output feedback control system possibly influenced by unknown disturbances, where both the plant output and the controller output are subject to event-triggered sampling. We propose a new event-triggering mechanism based on the history of the measured outputs instead of the current outputs only. This novel feature provides a simple link between the parameters of the sampling criterion and the speed of convergence. Accumulation of sampling times is prevented by enforcing a minimum interevent time. The effectiveness of the proposed event-triggered scheme is illustrated by several numerical examples, including nonlinear and linear systems.

引用

页码：6625 / 6632

页数：8

共 24 条

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