Fuzzy-approximation-based decentralized adaptive control for pure-feedback large-scale nonlinear systems with time-delay

Huanqing Wang; Xuebo Yang; Zhandong Yu; Kefu Liu; Xiaoping Liu

doi:10.1007/s00521-014-1711-0

Fuzzy-approximation-based decentralized adaptive control for pure-feedback large-scale nonlinear systems with time-delay

Huanqing Wang^*
, Xuebo Yang
, Zhandong Yu
, Kefu Liu
, Xiaoping Liu

^*Corresponding author for this work

Bohai University
Lakehead University

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

27 Scopus citations

Abstract

This paper focuses on the problem of decentralized adaptive fuzzy control for a class of pure-feedback large-scale nonlinear systems with time-delay. By combining fuzzy logical systems’ universal approximation capability with adaptive backstepping technique, an adaptive fuzzy control scheme is proposed. It is proved that the developed controller guarantees that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded in mean square. Simulation results are provided to demonstrate the effectiveness of the proposed control scheme.

Original language	English
Pages (from-to)	151-160
Number of pages	10
Journal	Neural Computing and Applications
Volume	26
Issue number	1
DOIs	https://doi.org/10.1007/s00521-014-1711-0
State	Published - Jan 2014
Externally published	Yes

Keywords

Adaptive decentralized control
Backstepping
Fuzzy control
Pure-feedback large-scale time-delay systems

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10.1007/s00521-014-1711-0

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title = "Fuzzy-approximation-based decentralized adaptive control for pure-feedback large-scale nonlinear systems with time-delay",

abstract = "This paper focuses on the problem of decentralized adaptive fuzzy control for a class of pure-feedback large-scale nonlinear systems with time-delay. By combining fuzzy logical systems{\textquoteright} universal approximation capability with adaptive backstepping technique, an adaptive fuzzy control scheme is proposed. It is proved that the developed controller guarantees that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded in mean square. Simulation results are provided to demonstrate the effectiveness of the proposed control scheme.",

keywords = "Adaptive decentralized control, Backstepping, Fuzzy control, Pure-feedback large-scale time-delay systems",

author = "Huanqing Wang and Xuebo Yang and Zhandong Yu and Kefu Liu and Xiaoping Liu",

note = "Publisher Copyright: {\textcopyright} 2014, The Natural Computing Applications Forum.",

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doi = "10.1007/s00521-014-1711-0",

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AU - Wang, Huanqing

AU - Yang, Xuebo

AU - Yu, Zhandong

AU - Liu, Kefu

AU - Liu, Xiaoping

PY - 2014/1

Y1 - 2014/1

N2 - This paper focuses on the problem of decentralized adaptive fuzzy control for a class of pure-feedback large-scale nonlinear systems with time-delay. By combining fuzzy logical systems’ universal approximation capability with adaptive backstepping technique, an adaptive fuzzy control scheme is proposed. It is proved that the developed controller guarantees that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded in mean square. Simulation results are provided to demonstrate the effectiveness of the proposed control scheme.

AB - This paper focuses on the problem of decentralized adaptive fuzzy control for a class of pure-feedback large-scale nonlinear systems with time-delay. By combining fuzzy logical systems’ universal approximation capability with adaptive backstepping technique, an adaptive fuzzy control scheme is proposed. It is proved that the developed controller guarantees that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded in mean square. Simulation results are provided to demonstrate the effectiveness of the proposed control scheme.

KW - Adaptive decentralized control

KW - Backstepping

KW - Fuzzy control

KW - Pure-feedback large-scale time-delay systems

UR - https://www.scopus.com/pages/publications/84925517866

U2 - 10.1007/s00521-014-1711-0

DO - 10.1007/s00521-014-1711-0

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JO - Neural Computing and Applications

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ER -

Fuzzy-approximation-based decentralized adaptive control for pure-feedback large-scale nonlinear systems with time-delay

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Keywords

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