Distributed robust output consensus for linear multi-agent systems with input time-varying delays and parameter uncertainties

被引：40

作者：

Fiengo, Giovanni ^{[1
]}

Lui, Dario Giuseppe ^{[1
]}

Petrillo, Alberto ^{[2
]}

Santini, Stefania ^{[2
]}

机构：

[1] Univ Sannio, Dept Engn, I-82100 Benevento, Italy

[2] Univ Napoli Federico II, Dept Elect Engn & Informat Technol, I-80125 Naples, Italy

来源：

IET CONTROL THEORY AND APPLICATIONS | 2019年 / 13卷 / 02期

关键词：

Lyapunov methods; control system synthesis; uncertain systems; three-term control; closed loop systems; distributed control; robust control; linear systems; linear matrix inequalities; time-varying systems; delays; multi-agent systems; distributed robust output consensus; linear multiagent systems; input time-varying delays; parameter uncertainties; leader-tracking problem; parameter model uncertainties; time-varying communication delays; robust output consensus problem; delayed distributed proportional-integral-derivative control; closed-loop stability; delay-dependent robust stability conditions; robust control gains; ADAPTIVE SYNCHRONIZATION; COOPERATIVE SYSTEMS; TRACKING CONTROL; NETWORKS; STABILITY; TRANSIENT; OBSERVER; FEEDBACK; DESIGN;

D O I：

10.1049/iet-cta.2018.5367

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 study addresses the leader-tracking problem for linear multi-agent systems in the presence of both parameter model uncertainties and time-varying communication delays. To solve the robust output consensus problem, a delayed distributed proportional-integral-derivative control is proposed and the overall closed-loop stability is proven by exploiting the Lyapunov-Krasovskii theory. Delay-dependent robust stability conditions are given via linear matrix inequalities which allow the proper tuning of robust control gains. The effectiveness of the theoretical derivation is confirmed through a numerical analysis in the practical application domain of cooperative driving for connected vehicles.

引用

页码：203 / 212

页数：10

共 58 条

[1] Mobility impact in IEEE 802.11p infrastructureless vehicular networks [J].