Adaptive fault-tolerant control for uncertain nonlinear system with guaranteed pre-described performance

Zhiyuan NIE; Yongduan SONG; Liu HE; Kai ZHAO

doi:10.1109/CCDC.2017.7978061

Adaptive fault-tolerant control for uncertain nonlinear system with guaranteed pre-described performance

Zhiyuan NIE
, Yongduan SONG^*
, Liu HE
, Kai ZHAO

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

1 Citation (Scopus)

Abstract

In this paper we present a computationally inexpensive adaptive control method for a class of single-input single-output (SISO) uncertain nonlinear dynamic system with actuator failure, modeling uncertainties and external disturbances. By blending system deep-rooted information into backstepping control design and with the help of Nussbaum gains, we develop a robust adaptive control scheme to deal with system uncertainties and actuation failures, which ensures pre-described performance specifications without involving complex online computations. Both theoretical analysis and numerical simulation verify the effectiveness and benefits of the proposed method.

Original language	English
Title of host publication	Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	28-33
Number of pages	6
ISBN (Electronic)	9781509046560
DOIs	https://doi.org/10.1109/CCDC.2017.7978061
Publication status	Published - Jul 2017
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Funding

This work was supported in part by technology transformation program of Chongqing higher education university (KJZH17102).

Keywords

Adaptive control
Backstepping
Deep-rooted information
Fault-tolerant
Nussbaum gain
Pre-described performance

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10.1109/CCDC.2017.7978061

Cite this

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title = "Adaptive fault-tolerant control for uncertain nonlinear system with guaranteed pre-described performance",

abstract = "In this paper we present a computationally inexpensive adaptive control method for a class of single-input single-output (SISO) uncertain nonlinear dynamic system with actuator failure, modeling uncertainties and external disturbances. By blending system deep-rooted information into backstepping control design and with the help of Nussbaum gains, we develop a robust adaptive control scheme to deal with system uncertainties and actuation failures, which ensures pre-described performance specifications without involving complex online computations. Both theoretical analysis and numerical simulation verify the effectiveness and benefits of the proposed method.",

keywords = "Adaptive control, Backstepping, Deep-rooted information, Fault-tolerant, Nussbaum gain, Pre-described performance",

author = "Zhiyuan NIE and Yongduan SONG and Liu HE and Kai ZHAO",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.",

year = "2017",

month = jul,

doi = "10.1109/CCDC.2017.7978061",

language = "English",

pages = "28--33",

booktitle = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",

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Adaptive fault-tolerant control for uncertain nonlinear system with guaranteed pre-described performance. / NIE, Zhiyuan; SONG, Yongduan; HE, Liu et al.
Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 28-33.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - Adaptive fault-tolerant control for uncertain nonlinear system with guaranteed pre-described performance

AU - NIE, Zhiyuan

AU - SONG, Yongduan

AU - HE, Liu

AU - ZHAO, Kai

PY - 2017/7

Y1 - 2017/7

N2 - In this paper we present a computationally inexpensive adaptive control method for a class of single-input single-output (SISO) uncertain nonlinear dynamic system with actuator failure, modeling uncertainties and external disturbances. By blending system deep-rooted information into backstepping control design and with the help of Nussbaum gains, we develop a robust adaptive control scheme to deal with system uncertainties and actuation failures, which ensures pre-described performance specifications without involving complex online computations. Both theoretical analysis and numerical simulation verify the effectiveness and benefits of the proposed method.

AB - In this paper we present a computationally inexpensive adaptive control method for a class of single-input single-output (SISO) uncertain nonlinear dynamic system with actuator failure, modeling uncertainties and external disturbances. By blending system deep-rooted information into backstepping control design and with the help of Nussbaum gains, we develop a robust adaptive control scheme to deal with system uncertainties and actuation failures, which ensures pre-described performance specifications without involving complex online computations. Both theoretical analysis and numerical simulation verify the effectiveness and benefits of the proposed method.

KW - Adaptive control

KW - Backstepping

KW - Deep-rooted information

KW - Fault-tolerant

KW - Nussbaum gain

KW - Pre-described performance

UR - https://www.scopus.com/pages/publications/85028063629

U2 - 10.1109/CCDC.2017.7978061

DO - 10.1109/CCDC.2017.7978061

M3 - Conference paper (refereed)

AN - SCOPUS:85028063629

SP - 28

EP - 33

BT - Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Adaptive fault-tolerant control for uncertain nonlinear system with guaranteed pre-described performance

Abstract

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Keywords

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