Finite-Time Distributed Energy-to-Peak Control for Uncertain Multiagent Systems
This paper investigates the finite-time distributed L2–L∞ consensus control problem of multiagent systems with parameter uncertainties. The relative states of neighboring agents are used to construct the control law and some agents know their own states. By substituting the control input into multia...
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Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2014/260201 |
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doaj-7cadd69d9cf74eb9b3fe88e2c83558c92020-11-25T00:37:31ZengHindawi LimitedAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/260201260201Finite-Time Distributed Energy-to-Peak Control for Uncertain Multiagent SystemsQu Chenggang0Cao Xibin1Hamid Reza Karimi2Zhang Zhuo3Zhang Zexu4Research Institute of Satellite Technology, Harbin Institute of Technology, Harbin 150080, ChinaResearch Institute of Satellite Technology, Harbin Institute of Technology, Harbin 150080, ChinaDepartment of Engineering, Faculty of Engineering and Science, University of Agder, 4898 Grimstad, NorwayDeep Space Exploration Research Center, Harbin Institute of Technology, Harbin 150080, ChinaDeep Space Exploration Research Center, Harbin Institute of Technology, Harbin 150080, ChinaThis paper investigates the finite-time distributed L2–L∞ consensus control problem of multiagent systems with parameter uncertainties. The relative states of neighboring agents are used to construct the control law and some agents know their own states. By substituting the control input into multiagent systems, an augmented closed-loop system is obtained. Then, we analyze its finite-time boundedness (FTB) and finite-time L2–L∞ performance. A sufficient condition for the existence of the designed controller is given with the form of linear matrix inequalities (LMIs). Finally, simulation results are described.http://dx.doi.org/10.1155/2014/260201 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qu Chenggang Cao Xibin Hamid Reza Karimi Zhang Zhuo Zhang Zexu |
spellingShingle |
Qu Chenggang Cao Xibin Hamid Reza Karimi Zhang Zhuo Zhang Zexu Finite-Time Distributed Energy-to-Peak Control for Uncertain Multiagent Systems Abstract and Applied Analysis |
author_facet |
Qu Chenggang Cao Xibin Hamid Reza Karimi Zhang Zhuo Zhang Zexu |
author_sort |
Qu Chenggang |
title |
Finite-Time Distributed Energy-to-Peak Control for Uncertain Multiagent Systems |
title_short |
Finite-Time Distributed Energy-to-Peak Control for Uncertain Multiagent Systems |
title_full |
Finite-Time Distributed Energy-to-Peak Control for Uncertain Multiagent Systems |
title_fullStr |
Finite-Time Distributed Energy-to-Peak Control for Uncertain Multiagent Systems |
title_full_unstemmed |
Finite-Time Distributed Energy-to-Peak Control for Uncertain Multiagent Systems |
title_sort |
finite-time distributed energy-to-peak control for uncertain multiagent systems |
publisher |
Hindawi Limited |
series |
Abstract and Applied Analysis |
issn |
1085-3375 1687-0409 |
publishDate |
2014-01-01 |
description |
This paper investigates the finite-time distributed L2–L∞ consensus control problem of multiagent systems with parameter uncertainties. The relative states of neighboring agents are used to construct the control law and some agents know their own states. By substituting the control input into multiagent systems, an augmented closed-loop system is obtained. Then, we analyze its finite-time boundedness (FTB) and finite-time L2–L∞ performance. A sufficient condition for the existence of the designed controller is given with the form of linear matrix inequalities (LMIs). Finally, simulation results are described. |
url |
http://dx.doi.org/10.1155/2014/260201 |
work_keys_str_mv |
AT quchenggang finitetimedistributedenergytopeakcontrolforuncertainmultiagentsystems AT caoxibin finitetimedistributedenergytopeakcontrolforuncertainmultiagentsystems AT hamidrezakarimi finitetimedistributedenergytopeakcontrolforuncertainmultiagentsystems AT zhangzhuo finitetimedistributedenergytopeakcontrolforuncertainmultiagentsystems AT zhangzexu finitetimedistributedenergytopeakcontrolforuncertainmultiagentsystems |
_version_ |
1725300942887190528 |