Non-fragile consensus control for nonlinear singular multi-agent systems: An event-triggered sampling scheme

被引：4

作者：

Niu, Qi ^{[1
]}

Li, Lin ^{[2
]}

Wang, Chaoli ^{[2
]}

机构：

[1] Univ Shanghai Sci & Technol, Coll Sci, Shanghai, Peoples R China

[2] Univ Shanghai Sci & Technol, Dept Control Sci & Engn, Shanghai 200093, Peoples R China

来源：

TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL | 2023年 / 45卷 / 01期

基金：

上海市自然科学基金; 中国国家自然科学基金;

关键词：

Singular multi-agent systems; non-fragile consensus; event-triggered control; Lipschitz nonlinearity; norm-bounded uncertainty; GUARANTEED-COST CONSENSUS;

D O I：

10.1177/01423312221107977

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 paper is devoted to the problem of non-fragile consensus control for a class of nonlinear singular multi-agent systems based on an event-triggered control strategy. To reduce the resource occupancy, a decentralized event-triggered sampling consensus control protocol for each agent is proposed, which does not require continuous communication among agents. Analysis of non-fragile consensus problem in the multi-agent systems is transformed into asymptotical stability issues of some lower dimensional subsystems via nonsingular transformation. Using the Lyapunov theory, sufficient conditions are obtained such that for all possible norm-bounded parameter variations in the protocol gains, the designed protocol can bring all agents' states to a point of agreement. Furthermore, the corresponding protocol design method is also given. Numerical examples are included to illustrate the effectiveness of the derived results.

引用

页码：72 / 88

页数：17

共 36 条

[1]

Boyd S., 1994, Linear Matrix Inequalities in System and Control Theory, DOI DOI 10.1137/1.9781611970777

[2] Distributed Event-Triggered Control for Multi-Agent Systems [J].

Dimarogonas, Dimos V. ;

Frazzoli, Emilio ;

Johansson, Karl H. .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2012, 57 (05) :1291-1297

[3] Event-triggered Control for Multi-Agent Systems [J].

Dimarogonas, Dimos V. ;

Johansson, Karl H. .

PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009), 2009, :7131-7136

[4] Network-based leader-following consensus for distributed multi-agent systems [J].

Ding, Lei ;

Han, Qing-Long ;

Guo, Ge .

AUTOMATICA, 2013, 49 (07) :2281-2286

[5]

Duan GR, 2010, ADV MECH MATH, V23, P1, DOI 10.1007/978-1-4419-6397-0_1

[6] Admissible consensus for descriptor multi-agent systems via distributed observer-based protocols [J].

Gao, Lixin ;

Cui, Yulong ;

Chen, Wenhai .

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2017, 354 (01) :257-276

[7] Guaranteed-performance consensus for descriptor nonlinear multi-agent systems based on distributed nonlinear consensus protocol [J].

Gao, Zhiyun ;

Zhang, Huaguang ;

Duan, Jie ;

Cai, Yuliang .

NEUROCOMPUTING, 2020, 383 :359-367

[8] Consensus tracking control via iterative learning for singular multi-agent systems [J].

Gu, Panpan ;

Tian, Senping .

IET CONTROL THEORY AND APPLICATIONS, 2019, 13 (11) :1603-1611

[9] A distributed event-triggered transmission strategy for sampled-data consensus of multi-agent systems [J].

Guo, Ge ;

Ding, Lei ;

Han, Qing-Long .

AUTOMATICA, 2014, 50 (05) :1489-1496

[10] Leader-Following Output Consensus for High-Order Nonlinear Multiagent Systems [J].

Hua, Chang-Chun ;

Li, Kuo ;

Guan, Xin-Ping .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 64 (03) :1156-1161

← 1 2 3 4 →