Distributed cooperative adaptive identification and control for a group of continuous-time systems with a cooperative PE condition via consensus

In this paper, we first address the uniformly exponential stability (UES) problem of a group of distributed cooperative adaptive systems in a general framework. Inspired by consensus theory, distributed cooperative adaptive laws are proposed to estimate the unknown parameters of these systems. It is...

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Main Authors: Chen, Weisheng, Wen, Changyun, Hua, Shaoyong, Sun, Changyin
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2014
Subjects:
Online Access:https://hdl.handle.net/10356/103818
http://hdl.handle.net/10220/19304
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author Chen, Weisheng
Wen, Changyun
Hua, Shaoyong
Sun, Changyin
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Chen, Weisheng
Wen, Changyun
Hua, Shaoyong
Sun, Changyin
author_sort Chen, Weisheng
collection NTU
description In this paper, we first address the uniformly exponential stability (UES) problem of a group of distributed cooperative adaptive systems in a general framework. Inspired by consensus theory, distributed cooperative adaptive laws are proposed to estimate the unknown parameters of these systems. It is shown that not only is the entire closed-loop system stable, but also both the identification/tracking error and the parameter estimation error converge to zero uniformly exponentially under a cooperative persistent excitation (PE) condition of a regressor matrix in each system which is weaker than the traditionally defined PE condition. The effects of network topology on UES of the closed-loop system are also explored. If the topology is time-invariant, it needs to be undirected and connected. However, when the topology is time-varying, it is just required that the integration of the topology over an interval with fixed length is undirected and connected. The established results are then employed to identify and control several classes of linearly parameterized systems. Simulation examples are also provided to demonstrate the effectiveness and applications of the proposed distributed cooperative adaptive laws.
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spelling ntu-10356/1038182020-03-07T14:02:43Z Distributed cooperative adaptive identification and control for a group of continuous-time systems with a cooperative PE condition via consensus Chen, Weisheng Wen, Changyun Hua, Shaoyong Sun, Changyin School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering In this paper, we first address the uniformly exponential stability (UES) problem of a group of distributed cooperative adaptive systems in a general framework. Inspired by consensus theory, distributed cooperative adaptive laws are proposed to estimate the unknown parameters of these systems. It is shown that not only is the entire closed-loop system stable, but also both the identification/tracking error and the parameter estimation error converge to zero uniformly exponentially under a cooperative persistent excitation (PE) condition of a regressor matrix in each system which is weaker than the traditionally defined PE condition. The effects of network topology on UES of the closed-loop system are also explored. If the topology is time-invariant, it needs to be undirected and connected. However, when the topology is time-varying, it is just required that the integration of the topology over an interval with fixed length is undirected and connected. The established results are then employed to identify and control several classes of linearly parameterized systems. Simulation examples are also provided to demonstrate the effectiveness and applications of the proposed distributed cooperative adaptive laws. Accepted version 2014-05-09T08:38:37Z 2019-12-06T21:21:00Z 2014-05-09T08:38:37Z 2019-12-06T21:21:00Z 2014 2014 Journal Article Chen, W., Wen, C., Hua, S., & Sun, C. (2014). Distributed Cooperative Adaptive Identification and Control for a Group of Continuous-Time Systems With a Cooperative PE Condition via Consensus. IEEE Transactions on Automatic Control, 59(1), 91-106. 0018-9286 https://hdl.handle.net/10356/103818 http://hdl.handle.net/10220/19304 10.1109/TAC.2013.2278135 en IEEE transactions on automatic control © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/TAC.2013.2278135]. 16 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Chen, Weisheng
Wen, Changyun
Hua, Shaoyong
Sun, Changyin
Distributed cooperative adaptive identification and control for a group of continuous-time systems with a cooperative PE condition via consensus
title Distributed cooperative adaptive identification and control for a group of continuous-time systems with a cooperative PE condition via consensus
title_full Distributed cooperative adaptive identification and control for a group of continuous-time systems with a cooperative PE condition via consensus
title_fullStr Distributed cooperative adaptive identification and control for a group of continuous-time systems with a cooperative PE condition via consensus
title_full_unstemmed Distributed cooperative adaptive identification and control for a group of continuous-time systems with a cooperative PE condition via consensus
title_short Distributed cooperative adaptive identification and control for a group of continuous-time systems with a cooperative PE condition via consensus
title_sort distributed cooperative adaptive identification and control for a group of continuous time systems with a cooperative pe condition via consensus
topic DRNTU::Engineering::Electrical and electronic engineering
url https://hdl.handle.net/10356/103818
http://hdl.handle.net/10220/19304
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