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作者:

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

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EI SCIE

摘要:

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.

关键词:

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

作者机构:

  • [ 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

通讯作者信息:

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

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来源 :

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

ISSN: 2162-237X

年份: 2020

期: 10

卷: 31

页码: 4084-4093

1 0 . 4 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:34

JCR分区:1

被引次数:

WoS核心集被引频次: 98

SCOPUS被引频次: 101

ESI高被引论文在榜: 3 展开所有

  • 2022-3
  • 2021-3
  • 2021-1

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中文被引频次:

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