Bounded Consensus Algorithms for Multi-Agent Systems in Directed Networks

被引：43

作者：

Du, Haibo ^{[1
,2
]}

Li, Shihua ^{[1
]}

Ding, Shihong ^{[3
]}

机构：

[1] Southeast Univ, Sch Automat, Key Lab Measurement & Control CSE, Minist Educ, Nanjing 210096, Jiangsu, Peoples R China

[2] Hefei Univ Technol, Dept Elect Engn & Automat, Hefei 230009, Anhui, Peoples R China

[3] Jiangsu Univ, Coll Elect & Informat Engn, Zhenjiang 212013, Jiangsu, Peoples R China

来源：

ASIAN JOURNAL OF CONTROL | 2013年 / 15卷 / 01期

基金：

高等学校博士学科点专项科研基金;

关键词：

Multi-agent system; bounded control; communication delays; asymptotic consensus; finite-time consensus; FINITE-TIME CONSENSUS; MULTIPLE INTEGRATORS; COORDINATION; AGENTS;

D O I：

10.1002/asjc.533

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the consensus problem is investigated via bounded controls for the multi-agent systems with or without communication. Based on the nested saturation method, the saturated control laws are designed to solve the consensus problem. Under the designed saturated control laws, the transient performance of the closed-loop system can be improved by tuning the saturation level. First of all, asymptotical consensus algorithms with bounded control inputs are proposed for the multi-agent systems with or without communication delays. Under these consensus algorithms, the states consensus can be achieved asymptotically. Then, based on a kind of novel nonlinear saturation functions, bounded finite-time consensus algorithms are further developed. It is shown that the states consensus can be achieved in finite time. Finally, two examples are given to verify the efficiency of the proposed methods.

引用

页码：282 / 291

页数：10

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