TY - JOUR
T1 - A brief survey on nonlinear control using adaptive dynamic programming under engineering-oriented complexities
AU - Zhang, Yuhan
AU - Zou, Lei
AU - Liu, Yang
AU - Ding, Derui
AU - Hu, Jun
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China [grant number 62273087], the Shanghai Pujiang Program of China [grant number 22PJ1400400] and the Natural Science Foundation of Heilongjiang Province of China [grant number ZD2022F003].
Publisher Copyright:
© 2023 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2023/6/1
Y1 - 2023/6/1
N2 - 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.
AB - 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.
KW - adaptive dynamic programming
KW - engineering-oriented complexities
KW - neural networks
KW - nonlinear control
KW - Nonlinear dynamics
UR - http://www.scopus.com/inward/record.url?scp=85159370565&partnerID=8YFLogxK
U2 - 10.1080/00207721.2023.2209846
DO - 10.1080/00207721.2023.2209846
M3 - Review article
AN - SCOPUS:85159370565
VL - 54
SP - 1855
EP - 1872
JO - International Journal of Systems Science
JF - International Journal of Systems Science
SN - 0020-7721
IS - 8
ER -