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

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
Journal	IEEE Transactions on Circuits and Systems II: Express Briefs
DOIs	https://doi.org/10.1109/TCSII.2021.3118553
Publication status	Accepted/In press - 2021

Keywords

Convergence
Laplace equations
Nonlinear dynamical systems
Nonlinear multi-agent systems
prescribed performance control
Protocols
relative states.
synchronization
Synchronization
Trajectory
Transient analysis

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{\textquoteright} 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 = "Convergence, Laplace equations, Nonlinear dynamical systems, Nonlinear multi-agent systems, prescribed performance control, Protocols, relative states., synchronization, Synchronization, Trajectory, Transient analysis",

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

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year = "2021",

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language = "English",

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AU - Dai, Ming Zhe

AU - Ahn, Choon Ki

AU - Zhang, Chengxi

AU - Wei, Caisheng

AU - Wu, Jin

N1 - Publisher Copyright: IEEE

PY - 2021

Y1 - 2021

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.

AB - 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.

KW - Convergence

KW - Laplace equations

KW - Nonlinear dynamical systems

KW - Nonlinear multi-agent systems

KW - prescribed performance control

KW - Protocols

KW - relative states.

KW - synchronization

KW - Synchronization

KW - Trajectory

KW - Transient analysis

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DO - 10.1109/TCSII.2021.3118553

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AN - SCOPUS:85117131618

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

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

SN - 1549-8328

ER -

On Prescribed Performance Synchronization to QUAD Nonlinear Multi-Agent Networks

Abstract

Keywords

ASJC Scopus subject areas

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