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author:

Zhou Ning (Zhou Ning.) [1] | Chen Riqing (Chen Riqing.) [2] | Huang Jie (Huang Jie.) [3] (Scholars:黄捷) | Wen Guoxing (Wen Guoxing.) [4]

Indexed by:

CPCI-S

Abstract:

This paper discusses the problem of time-varying formation control for multiple spacecraft while achieving H infinity performance. Firstly, an elaborate formation task function is designed by using estimator-based null-space based behavioral control method, and a predesigned desired velocity is calculated for each spacecraft. Then by employing backstepping technique associated with the universal approximation property of radial basis function neural networks (RBFNN), an adaptive H infinity coordination control scheme is presented to drive all the spacecraft to implement the time-varying formation task in switching communication graph. Finally, rigorous theoretical analysis shows that the proposed algorithm implements the time-varying formation task successfully with H infinity performance.

Keyword:

H infinity Control Neural Networks Control Spacecraft System Time-Varying Formation

Community:

  • [ 1 ] [Zhou Ning]Fujian Agr & Forestry Univ, Coll Comp & Informat Sci, Fuzhou 350002, Fujian, Peoples R China
  • [ 2 ] [Chen Riqing]Fujian Agr & Forestry Univ, Coll Comp & Informat Sci, Fuzhou 350002, Fujian, Peoples R China
  • [ 3 ] [Zhou Ning]Univ Groningen, Fac Sci & Engn, NL-9747 AG Groningen, Netherlands
  • [ 4 ] [Huang Jie]Univ Groningen, Fac Sci & Engn, NL-9747 AG Groningen, Netherlands
  • [ 5 ] [Huang Jie]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350108, Fujian, Peoples R China
  • [ 6 ] [Wen Guoxing]Binzhou Univ, Coll Sci, Binzhou 256600, Shandong, Peoples R China

Reprint 's Address:

  • [Zhou Ning]Fujian Agr & Forestry Univ, Coll Comp & Informat Sci, Fuzhou 350002, Fujian, Peoples R China;;[Zhou Ning]Univ Groningen, Fac Sci & Engn, NL-9747 AG Groningen, Netherlands

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Source :

2018 37TH CHINESE CONTROL CONFERENCE (CCC)

ISSN: 2161-2927

Year: 2018

Page: 7076-7081

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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