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Author:

Zhao, H. (Zhao, H..) | Wang, D. (Wang, D..) | Ren, J. (Ren, J..)

Indexed by:

Scopus

Abstract:

To solve the tracking control problem for nonaffine systems, an online design method was developed by using the action dependent heuristic dynamic programming (ADHDP) structure. Firstly, the tracking control problem for the unknown nonaffine system was transformed into the error regulation problem. Then, the ADHDP tracking controller was designed and the online learning method was adopted to synchronize the system control with the training of action networks and critic networks, so that the desired trajectory could be tracked by the system state. Finally, a simulation example was given to verify the effectiveness of the proposed method. © 2022 Chinese Journal of Intelligent Science and Technology. All Rights Reserved.

Keyword:

action dependent design online learning tracking control

Author Community:

  • [ 1 ] [Zhao H.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Zhao H.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, 100124, China
  • [ 3 ] [Zhao H.]Beijing Institute of Artificial Intelligence, Beijing, 100124, China
  • [ 4 ] [Zhao H.]Beijing Laboratory of Smart Environmental Protection, Beijing, 100124, China
  • [ 5 ] [Wang D.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Wang D.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, 100124, China
  • [ 7 ] [Wang D.]Beijing Institute of Artificial Intelligence, Beijing, 100124, China
  • [ 8 ] [Wang D.]Beijing Laboratory of Smart Environmental Protection, Beijing, 100124, China
  • [ 9 ] [Ren J.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 10 ] [Ren J.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, 100124, China
  • [ 11 ] [Ren J.]Beijing Institute of Artificial Intelligence, Beijing, 100124, China
  • [ 12 ] [Ren J.]Beijing Laboratory of Smart Environmental Protection, Beijing, 100124, China

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Source :

Chinese Journal of Intelligent Science and Technology

ISSN: 2096-6652

Year: 2021

Issue: 4

Volume: 3

Page: 449-455

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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