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author:

Huang, Wenchao (Huang, Wenchao.) [1] (Scholars:黄文超) | Liu, Hailin (Liu, Hailin.) [2] | Huang, Jie (Huang, Jie.) [3] (Scholars:黄捷)

Indexed by:

EI SCIE CSCD

Abstract:

In this paper, we consider the robust output containment problem of linear heterogeneous multi-agent systems under fixed directed networks. A distributed dynamic observer based on the leaders' measurable output was designed to estimate a convex combination of the leaders' states. First, for the case of followers with identical state dimensions, distributed dynamic state and output feedback control laws were designed based on the state-coupled item and the internal model compensator to drive the uncertain followers into the leaders' convex hull within the output regulation framework Subsequently, we extended theoretical results to the case where followers have nonidentical state dimensions. By establishing virtual errors between the dynamic observer and followers, a new distributed dynamic output feedback control law was constructed using only the states of the compensator to solve the robust output containment problem. Finally, two numerical simulations verified the effectiveness of the designed schemes.

Keyword:

Containment control internal model principle multi-agent systems observer technique output regulation

Community:

  • [ 1 ] [Huang, Wenchao]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 2 ] [Liu, Hailin]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 3 ] [Huang, Jie]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 4 ] [Liu, Hailin]South China Univ Technol, Sch Automat Sicience & Engn, Guangzhou 510641, Peoples R China

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Source :

IEEE-CAA JOURNAL OF AUTOMATICA SINICA

ISSN: 2329-9266

CN: 10-1193/TP

Year: 2022

Issue: 5

Volume: 9

Page: 864-877

1 1 . 8

JCR@2022

1 5 . 3 0 0

JCR@2023

ESI Discipline: ENGINEERING;

ESI HC Threshold:66

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 7

SCOPUS Cited Count: 17

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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