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A brief survey on nonlinear control using adaptive dynamic programming under engineering-oriented complexities

Author

Listed:
  • Yuhan Zhang
  • Lei Zou
  • Yang Liu
  • Derui Ding
  • Jun Hu

Abstract

Nonlinear dynamics is frequently encountered in practical applications. Adaptive dynamic programming (ADP), which is implemented via actor/critic neural networks with excellent approximation capabilities, is appropriate to be used in finding the solution for the control problem in the presence of known/unknown nonlinear dynamics. The objective of this paper is to introduce state-of-the-art ADP-based algorithms and survey the recent advances in the ADP-based control strategies for nonlinear systems with various engineering-oriented complexities. Firstly, the main motivation of the ADP-based algorithms is thoroughly discussed, and the way of implementing the ADP-based algorithms is highlighted. Then, the latest research results concerning ADP-based control policy design for nonlinear systems are reviewed in detail, Finally, we conclude the survey by outlining the challenges and possible research topics in the future.

Suggested Citation

  • Yuhan Zhang & Lei Zou & Yang Liu & Derui Ding & Jun Hu, 2023. "A brief survey on nonlinear control using adaptive dynamic programming under engineering-oriented complexities," International Journal of Systems Science, Taylor & Francis Journals, vol. 54(8), pages 1855-1872, June.
    • Handle: RePEc:taf:tsysxx:v:54:y:2023:i:8:p:1855-1872
    DOI: 10.1080/00207721.2023.2209846
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