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Author:

Niu, Ben (Niu, Ben.) | Wang, Ding (Wang, Ding.) | Liu, Ming (Liu, Ming.) | Song, Xinmin (Song, Xinmin.) | Wang, Huanqing (Wang, Huanqing.) | Duan, Peiyong (Duan, Peiyong.)

Indexed by:

EI Scopus SCIE

Abstract:

In this article, we study the issue of adaptive neural output-feedback controller design for a class of uncertain switched time-delay nonlinear systems with nonlower triangular structure. The prominent contribution of this article is that the delay-dependent stability criterion of nonswitched nonlinear systems is successfully extended to that of switched nonlower triangular nonlinear systems. The design algorithm is listed as follows. First, a switched state observer is designed such that the error dynamic system can be generated. Second, neural networks, adaptive backstepping technique, and variable separation method are, respectively, applied to construct a common controller for all subsystems, in which the Lyapunov-Krasovskii functionals are deliberately constructed such that the average dwell-time scheme can be employed to guarantee the stability and performance of the closed-loop system, despite the existence of time delays. Third, the stability analysis process confirms in detail that all the variables of the closed-loop system are semiglobally uniformly ultimately bounded. Finally, simulation study is given to show the validity of the proposed control approach.

Keyword:

Delay effects Stability analysis neural networks (NNs) Backstepping switched nonlinear systems Adaptive control time delays Switches nonlower triangular form average dwell time (ADT) Adaptive systems Nonlinear systems

Author Community:

  • [ 1 ] [Niu, Ben]Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Peoples R China
  • [ 2 ] [Song, Xinmin]Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Peoples R China
  • [ 3 ] [Duan, Peiyong]Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Peoples R China
  • [ 4 ] [Wang, Ding]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Wang, Ding]Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China
  • [ 6 ] [Liu, Ming]Harbin Inst Technol, Sch Astronaut, Harbin 150001, Peoples R China
  • [ 7 ] [Wang, Huanqing]Bohai Univ, Coll Math & Phys, Jinzhou 121013, Peoples R China

Reprint Author's Address:

  • [Niu, Ben]Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Peoples R China

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Source :

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

ISSN: 2162-237X

Year: 2020

Issue: 10

Volume: 31

Page: 4084-4093

1 0 . 4 0 0

JCR@2022

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:132

Cited Count:

WoS CC Cited Count: 106

SCOPUS Cited Count: 111

ESI Highly Cited Papers on the List: 9 Unfold All

  • 2022-11
  • 2022-9
  • 2022-7
  • 2022-5
  • 2022-3
  • 2022-3
  • 2022-3
  • 2021-3
  • 2021-1

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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