Adaptive Prescribed-Time Control for a Class of Uncertain Nonlinear Systems

This article focuses on the problem of prescribed-time control for a class of uncertain nonlinear systems. First, a prescribed-time stability theorem is proposed by following the adaptive technology for the first time. Based on this theorem, a new state feedback control strategy is put forward by us...

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Published inIEEE transactions on automatic control Vol. 67; no. 11; pp. 6159 - 6166
Main Authors Hua, Changchun, Ning, Pengju, Li, Kuo
Format Journal Article
LanguageEnglish
Published New York IEEE 01.11.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Abstract This article focuses on the problem of prescribed-time control for a class of uncertain nonlinear systems. First, a prescribed-time stability theorem is proposed by following the adaptive technology for the first time. Based on this theorem, a new state feedback control strategy is put forward by using the backstepping method for high-order nonlinear systems with unknown parameters to ensure the prescribed-time convergence. Moreover, the prescribed-time controller is obtained in the form of continuous time-varying feedback, which can render all system states converge to zero within the prescribed time. It should be noted that the prescribed time is independent of system initial conditions, which means that the prescribed time can be set arbitrarily within the physical limitations. Finally, two simulation examples are provided to illustrate the effectiveness of our proposed algorithm.
AbstractList This article focuses on the problem of prescribed-time control for a class of uncertain nonlinear systems. First, a prescribed-time stability theorem is proposed by following the adaptive technology for the first time. Based on this theorem, a new state feedback control strategy is put forward by using the backstepping method for high-order nonlinear systems with unknown parameters to ensure the prescribed-time convergence. Moreover, the prescribed-time controller is obtained in the form of continuous time-varying feedback, which can render all system states converge to zero within the prescribed time. It should be noted that the prescribed time is independent of system initial conditions, which means that the prescribed time can be set arbitrarily within the physical limitations. Finally, two simulation examples are provided to illustrate the effectiveness of our proposed algorithm.
Author Hua, Changchun
Li, Kuo
Ning, Pengju
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  organization: Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China
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Cites_doi 10.1016/j.jmaa.2007.12.070
10.1109/9.299624
10.1109/TAC.2020.2967555
10.1109/TCYB.2020.3018695
10.1109/TCSII.2018.2890556
10.1016/j.automatica.2019.02.013
10.1109/TAC.2016.2600343
10.1016/j.automatica.2016.09.020
10.1016/0167-6911(92)90111-5
10.1002/rnc.4084
10.1109/TIE.2017.2701776
10.1070/SM1980v037n04ABEH002094
10.1080/00207721003770569
10.1016/S0167-6911(98)00036-X
10.1109/9.100933
10.23919/ECC.2019.8796114
10.1016/j.automatica.2020.109191
10.1109/ACC.2008.4587141
10.1016/j.automatica.2010.08.009
10.23919/ACC50511.2021.9483058
10.1016/j.automatica.2019.108760
10.1016/j.automatica.2017.04.024
10.1109/TAC.2021.3069667
10.1016/j.automatica.2017.06.008
10.1109/TCYB.2020.3012560
10.1016/j.ifacol.2020.12.1363
10.1109/TAC.2021.3061645
10.1093/imamci/dnx004
10.1016/j.ejcon.2019.09.005
10.1007/s00498-005-0151-x
10.1109/TAC.2011.2179869
10.1016/j.automatica.2020.108860
10.1109/TAC.2021.3061646
10.1109/TSMC.2018.2868329
10.1109/9.668834
10.1137/S0363012997321358
10.1109/TAC.2018.2845677
10.1016/s0005-1098(02)00147-4
10.1109/TAC.2008.929392
10.1016/j.automatica.2017.05.013
10.1109/TAC.2006.875006
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References ref13
ref35
ref12
ref34
ref15
ref37
ref14
ref36
ref31
ref30
ref11
ref33
ref10
ref32
ref1
ref17
ref39
ref16
ref38
ref19
ref18
ref24
ref23
Athans (ref2) 1966
ref26
ref25
ref20
ref42
ref41
ref22
ref21
Bohner (ref43) 2003; 12
ref28
ref27
ref29
ref8
ref7
ref9
ref4
ref3
ref6
ref5
ref40
References_xml – ident: ref23
  doi: 10.1016/j.jmaa.2007.12.070
– ident: ref39
  doi: 10.1109/9.299624
– ident: ref22
  doi: 10.1109/TAC.2020.2967555
– ident: ref41
  doi: 10.1109/TCYB.2020.3018695
– ident: ref25
  doi: 10.1109/TCSII.2018.2890556
– ident: ref21
  doi: 10.1016/j.automatica.2019.02.013
– ident: ref1
  doi: 10.1109/TAC.2016.2600343
– ident: ref16
  doi: 10.1016/j.automatica.2016.09.020
– ident: ref37
  doi: 10.1016/0167-6911(92)90111-5
– ident: ref28
  doi: 10.1002/rnc.4084
– ident: ref6
  doi: 10.1109/TIE.2017.2701776
– ident: ref7
  doi: 10.1070/SM1980v037n04ABEH002094
– ident: ref11
  doi: 10.1080/00207721003770569
– ident: ref3
  doi: 10.1016/S0167-6911(98)00036-X
– ident: ref38
  doi: 10.1109/9.100933
– ident: ref30
  doi: 10.23919/ECC.2019.8796114
– ident: ref33
  doi: 10.1016/j.automatica.2020.109191
– ident: ref10
  doi: 10.1109/ACC.2008.4587141
– ident: ref12
  doi: 10.1016/j.automatica.2010.08.009
– ident: ref32
  doi: 10.23919/ACC50511.2021.9483058
– ident: ref29
  doi: 10.1016/j.automatica.2019.108760
– ident: ref19
  doi: 10.1016/j.automatica.2017.04.024
– volume-title: Optimal Control: An Introduction to the Theory and Its Applications
  year: 1966
  ident: ref2
– ident: ref20
  doi: 10.1109/TAC.2021.3069667
– ident: ref27
  doi: 10.1016/j.automatica.2017.06.008
– ident: ref18
  doi: 10.1109/TCYB.2020.3012560
– ident: ref31
  doi: 10.1016/j.ifacol.2020.12.1363
– ident: ref26
  doi: 10.1109/TAC.2021.3061645
– ident: ref24
  doi: 10.1093/imamci/dnx004
– ident: ref42
  doi: 10.1016/j.ejcon.2019.09.005
– ident: ref14
  doi: 10.1007/s00498-005-0151-x
– ident: ref5
  doi: 10.1109/TAC.2011.2179869
– ident: ref34
  doi: 10.1016/j.automatica.2020.108860
– ident: ref35
  doi: 10.1109/TAC.2021.3061646
– ident: ref40
  doi: 10.1109/TSMC.2018.2868329
– ident: ref9
  doi: 10.1109/9.668834
– ident: ref8
  doi: 10.1137/S0363012997321358
– ident: ref13
  doi: 10.1109/TAC.2018.2845677
– ident: ref4
  doi: 10.1016/s0005-1098(02)00147-4
– ident: ref15
  doi: 10.1109/TAC.2008.929392
– volume: 12
  start-page: 45
  year: 2003
  ident: ref43
  article-title: Improper integrals on time scales
  publication-title: Dyn. Syst. Appl.
– ident: ref17
  doi: 10.1016/j.automatica.2017.05.013
– ident: ref36
  doi: 10.1109/TAC.2006.875006
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Snippet This article focuses on the problem of prescribed-time control for a class of uncertain nonlinear systems. First, a prescribed-time stability theorem is...
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SubjectTerms Adaptive control
Algorithms
Backstepping
backstepping method
Convergence
Feedback control
Initial conditions
Nonlinear systems
prescribed-time stability
State feedback
Theorems
Time-varying systems
Trajectory
uncertain nonlinear system
Upper bound
Title Adaptive Prescribed-Time Control for a Class of Uncertain Nonlinear Systems
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