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Author:

Liu, N. (Liu, N..) | Wang, D. (Wang, D..) | Ren, J. (Ren, J..) | Zhao, M. (Zhao, M..)

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Scopus

Abstract:

For discrete-time unknown nonlinear dynamic systems, an online optimal tracking control scheme is developed in this paper, which is implemented by direct heuristic dynamic programming (HDP). To start with, a solution procedure is presented for tracking problems of discrete-time nonlinear systems. Then, the basic structure and mechanism of the direct HDP algorithm are described in detail, including the critic network and the action network. Moreover, based on the direct HDP algorithm, the implementation process of neural networks is provided. Finally, the direct HDP algorithm is applied to enable the original system to track the reference trajectory. The effectiveness of the algorithm is proved in solving tracking problems and online optimal tracking control is achieved.  © 2024 Asian Control Association.

Keyword:

optimal tracking control adaptive dynamic programming discrete-time nonlinear systems direct heuristic dynamic programming

Author Community:

  • [ 1 ] [Liu N.]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 2 ] [Wang D.]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 3 ] [Ren J.]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 4 ] [Zhao M.]Beijing University of Technology, Faculty of Information Technology, Beijing, China

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Year: 2024

Page: 1748-1753

Language: English

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: 7

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