A Prediction-Based Approach Realizing Finite-Time Convergence of Networked Control Systems

被引：4

作者：

Pang, Zhong-Hua ^{[1
]}

Xia, Cheng-Gang ^{[2
]}

Zhang, Ji ^{[3
]}

Han, Qing-Long ^{[4
]}

Liu, Guo-Ping ^{[5
]}

机构：

[1] North China Univ Technol, Key Lab Fieldbus Technol & Automat Beijing, Beijing 100144, Peoples R China

[2] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China

[3] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Peoples R China

[4] Swinburne Univ Technol, Sch Sci Comp & Engn Technol, Melbourne, Vic 3122, Australia

[5] Southern Univ Sci & Technol, Ctr Control Sci & Technol, Shenzhen 518055, Peoples R China

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2023年 / 70卷 / 07期

基金：

北京市自然科学基金; 中国国家自然科学基金;

关键词：

Networked control systems; networked predictive control; model predictive control; network-induced delays; finite-time convergence; DELAY;

D O I：

10.1109/TCSII.2023.3235462

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This brief presents a networked model predictive control (MPC) strategy for the finite-time convergence of networked control systems with two-channel random communication constraints. Network-induced delays and packet dropouts in the backward and forward channels are transformed into the equivalent delays in each channel, which are actively compensated in the controller and actuator, respectively. Future control inputs are obtained by a finite-time MPC strategy, and the upper bound of the convergence time is given by theoretical analysis. Finally, the proposed scheme is verified by the numerical simulation of a mass-spring-damper system.

引用

页码：2445 / 2449

页数：5

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