Data-Driven Cooperative Output Regulation of Multi- Agent Systems via Robust Adaptive Dynamic Programming

Weinan Gao; Yu Jiang; Masoud Davari

doi:10.1109/TCSII.2018.2849639

Data-Driven Cooperative Output Regulation of Multi- Agent Systems via Robust Adaptive Dynamic Programming

Weinan Gao, Yu Jiang, Masoud Davari

Electrical & Computer Engineering

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

65 Scopus citations

Abstract

This brief studies the cooperative output regulation problems of multi-agent systems with parametric and dynamic uncertainties. By means of robust adaptive dynamic programming, a model-free distributed controller is developed via online input and state data. The cyclic-small-gain theorem is applied to ensure the asymptotic stability of the closed-loop system and thus solves the cooperative output regulation problem. Each follower is able to achieve asymptotic tracking and non-vanishing disturbance rejection. A numerical example is utilized to illustrate the effectiveness of the proposed algorithm.

Original language	American English
Journal	IEEE Transactions on Circuits and Systems II: Express Briefs
Volume	66
DOIs	https://doi.org/10.1109/TCSII.2018.2849639
State	Published - Jun 21 2018

Keywords

Cooperative output regulation
Data-driven
Multi-agent systems
Robust adaptive dynamic programming

DC Disciplines

Electrical and Computer Engineering

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10.1109/TCSII.2018.2849639License: Unspecified

https://doi.org/10.1109/TCSII.2018.2849639

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title = "Data-Driven Cooperative Output Regulation of Multi- Agent Systems via Robust Adaptive Dynamic Programming",

abstract = "This brief studies the cooperative output regulation problems of multi-agent systems with parametric and dynamic uncertainties. By means of robust adaptive dynamic programming, a model-free distributed controller is developed via online input and state data. The cyclic-small-gain theorem is applied to ensure the asymptotic stability of the closed-loop system and thus solves the cooperative output regulation problem. Each follower is able to achieve asymptotic tracking and non-vanishing disturbance rejection. A numerical example is utilized to illustrate the effectiveness of the proposed algorithm.",

keywords = "Cooperative output regulation, Data-driven, Multi-agent systems, Robust adaptive dynamic programming",

author = "Weinan Gao and Yu Jiang and Masoud Davari",

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AU - Jiang, Yu

AU - Davari, Masoud

PY - 2018/6/21

Y1 - 2018/6/21

N2 - This brief studies the cooperative output regulation problems of multi-agent systems with parametric and dynamic uncertainties. By means of robust adaptive dynamic programming, a model-free distributed controller is developed via online input and state data. The cyclic-small-gain theorem is applied to ensure the asymptotic stability of the closed-loop system and thus solves the cooperative output regulation problem. Each follower is able to achieve asymptotic tracking and non-vanishing disturbance rejection. A numerical example is utilized to illustrate the effectiveness of the proposed algorithm.

AB - This brief studies the cooperative output regulation problems of multi-agent systems with parametric and dynamic uncertainties. By means of robust adaptive dynamic programming, a model-free distributed controller is developed via online input and state data. The cyclic-small-gain theorem is applied to ensure the asymptotic stability of the closed-loop system and thus solves the cooperative output regulation problem. Each follower is able to achieve asymptotic tracking and non-vanishing disturbance rejection. A numerical example is utilized to illustrate the effectiveness of the proposed algorithm.

KW - Cooperative output regulation

KW - Data-driven

KW - Multi-agent systems

KW - Robust adaptive dynamic programming

UR - https://digitalcommons.georgiasouthern.edu/electrical-eng-facpubs/128

UR - https://doi.org/10.1109/TCSII.2018.2849639

U2 - 10.1109/TCSII.2018.2849639

DO - 10.1109/TCSII.2018.2849639

M3 - Article

SN - 1549-7747

VL - 66

JO - IEEE Transactions on Circuits and Systems II: Express Briefs

JF - IEEE Transactions on Circuits and Systems II: Express Briefs

ER -

Data-Driven Cooperative Output Regulation of Multi- Agent Systems via Robust Adaptive Dynamic Programming

Abstract

Keywords

DC Disciplines

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