On Prescribed Performance Synchronization to QUAD Nonlinear Multi-Agent Networks

Ming Zhe Dai; Choon Ki Ahn; Chengxi Zhang; Caisheng Wei; Jin Wu

doi:10.1109/TCSII.2021.3118553

On Prescribed Performance Synchronization to QUAD Nonlinear Multi-Agent Networks

Ming Zhe Dai, Choon Ki Ahn, Chengxi Zhang, Caisheng Wei, Jin Wu

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

This brief studies the synchronization problem of nonlinear multi-agent systems (MASs) with the quadratic condition (QUAD-condition) via prescribed performance control (PPC), where a novel performance function is employed that can configure the convergence rate arbitrarily. With the designed protocol, all relative states' evolution is within the preset performance envelopes, and the system achieves state synchronization asymptotically. In comparison with the existing studies, we first investigate the coordinated control of QUAD nonlinear MASs with prescribed trajectory behaviors. Moreover, the convergence rate of the proposed performance constraint function can be selected arbitrarily, which has better versatility. Simulations on coupled chaotic circuit networks verify the theoretical results.

Original language	English
Pages (from-to)	1377-1381
Number of pages	5
Journal	IEEE Transactions on Circuits and Systems II: Express Briefs
Volume	69
Issue number	3
DOIs	https://doi.org/10.1109/TCSII.2021.3118553
Publication status	Published - 2022 Mar 1

Keywords

Nonlinear multi-agent systems
Prescribed performance control
Relative states
Synchronization

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/TCSII.2021.3118553

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title = "On Prescribed Performance Synchronization to QUAD Nonlinear Multi-Agent Networks",

abstract = "This brief studies the synchronization problem of nonlinear multi-agent systems (MASs) with the quadratic condition (QUAD-condition) via prescribed performance control (PPC), where a novel performance function is employed that can configure the convergence rate arbitrarily. With the designed protocol, all relative states' evolution is within the preset performance envelopes, and the system achieves state synchronization asymptotically. In comparison with the existing studies, we first investigate the coordinated control of QUAD nonlinear MASs with prescribed trajectory behaviors. Moreover, the convergence rate of the proposed performance constraint function can be selected arbitrarily, which has better versatility. Simulations on coupled chaotic circuit networks verify the theoretical results. ",

keywords = "Nonlinear multi-agent systems, Prescribed performance control, Relative states, Synchronization",

author = "Dai, {Ming Zhe} and Ahn, {Choon Ki} and Chengxi Zhang and Caisheng Wei and Jin Wu",

note = "Funding Information: This work was supported in part by the National Research Foundation of Korea (NRF) Grant funded by the Korea Government (Ministry of Science and ICT) under Grant NRF- 2020R1A2C1005449; in part by the National Natural Science Foundation of China under Grant 62003112 and Grant 62003371; and in part by the Natural Science Foundation of Hunan Province under Grant 2020JJ5684. Publisher Copyright: {\textcopyright} 2004-2012 IEEE.",

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doi = "10.1109/TCSII.2021.3118553",

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AU - Dai, Ming Zhe

AU - Ahn, Choon Ki

AU - Zhang, Chengxi

AU - Wei, Caisheng

AU - Wu, Jin

N1 - Funding Information: This work was supported in part by the National Research Foundation of Korea (NRF) Grant funded by the Korea Government (Ministry of Science and ICT) under Grant NRF- 2020R1A2C1005449; in part by the National Natural Science Foundation of China under Grant 62003112 and Grant 62003371; and in part by the Natural Science Foundation of Hunan Province under Grant 2020JJ5684. Publisher Copyright: © 2004-2012 IEEE.

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N2 - This brief studies the synchronization problem of nonlinear multi-agent systems (MASs) with the quadratic condition (QUAD-condition) via prescribed performance control (PPC), where a novel performance function is employed that can configure the convergence rate arbitrarily. With the designed protocol, all relative states' evolution is within the preset performance envelopes, and the system achieves state synchronization asymptotically. In comparison with the existing studies, we first investigate the coordinated control of QUAD nonlinear MASs with prescribed trajectory behaviors. Moreover, the convergence rate of the proposed performance constraint function can be selected arbitrarily, which has better versatility. Simulations on coupled chaotic circuit networks verify the theoretical results.

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KW - Nonlinear multi-agent systems

KW - Prescribed performance control

KW - Relative states

KW - Synchronization

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JO - IEEE Transactions on Circuits and Systems I: Regular Papers

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On Prescribed Performance Synchronization to QUAD Nonlinear Multi-Agent Networks

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Keywords

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