Unified iterative learning control for flexible structures with input constraints

This paper proposes a unified framework of iterative learning control for typical flexible structures under spatiotemporally varying disturbances. Input constraints and the external disturbances are smoothly tackled through hyperbolic tangent functions. Boundary iterative learning control (BILC) law...

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Published inAutomatica (Oxford) Vol. 96; pp. 326 - 336
Main Authors He, Wei, Meng, Tingting, He, Xiuyu, Ge, Shuzhi Sam
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.10.2018
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Abstract This paper proposes a unified framework of iterative learning control for typical flexible structures under spatiotemporally varying disturbances. Input constraints and the external disturbances are smoothly tackled through hyperbolic tangent functions. Boundary iterative learning control (BILC) laws are proposed to guarantee the learning convergence. The closed-loop systems can converge to zero along the iteration axis on the basis of time-weighted Lyapunov–Krasovskii-like composite energy functions (CEF). Simulations are implemented to illustrate the effectiveness of the proposed BILC schemes.
AbstractList This paper proposes a unified framework of iterative learning control for typical flexible structures under spatiotemporally varying disturbances. Input constraints and the external disturbances are smoothly tackled through hyperbolic tangent functions. Boundary iterative learning control (BILC) laws are proposed to guarantee the learning convergence. The closed-loop systems can converge to zero along the iteration axis on the basis of time-weighted Lyapunov–Krasovskii-like composite energy functions (CEF). Simulations are implemented to illustrate the effectiveness of the proposed BILC schemes.
Author He, Xiuyu
Meng, Tingting
He, Wei
Ge, Shuzhi Sam
Author_xml – sequence: 1
  givenname: Wei
  surname: He
  fullname: He, Wei
  email: weihe@ieee.org
  organization: School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
– sequence: 2
  givenname: Tingting
  surname: Meng
  fullname: Meng, Tingting
  organization: Key Laboratory of System and Control, Academy of Mathematics and Systems Science, Chinese Academia of Science, Beijing 100190, China
– sequence: 3
  givenname: Xiuyu
  surname: He
  fullname: He, Xiuyu
  organization: School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
– sequence: 4
  givenname: Shuzhi Sam
  surname: Ge
  fullname: Ge, Shuzhi Sam
  organization: Department of Electrical & Computer Engineering, National University of Singapore, Singapore 117576, Singapore
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Distributed parameter system
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  year: 2018
  text: October 2018
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PublicationTitle Automatica (Oxford)
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Snippet This paper proposes a unified framework of iterative learning control for typical flexible structures under spatiotemporally varying disturbances. Input...
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elsevier
SourceType Enrichment Source
Index Database
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StartPage 326
SubjectTerms Boundary iterative learning control
Distributed parameter system
Disturbance rejection
Flexible structure
Input constraint
Title Unified iterative learning control for flexible structures with input constraints
URI https://dx.doi.org/10.1016/j.automatica.2018.06.051
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