<i>γ</i>-Iterative Dual Heuristic Dynamic Programming for Nonlinear Critical Surfaces With Strong Constraints-Reference-Cited by-同舟云学术

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γ-Iterative Dual Heuristic Dynamic Programming for Nonlinear Critical Surfaces With Strong Constraints

Published:2024-06 Issue:6 Volume:54 Page:3334-3343
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Zhang Huaguang¹^ORCID,Yan Ying²^ORCID,Sun Jiayue¹^ORCID

Affiliation:

1. State Key Laboratory of Synthetical Automation for Process Industries and the School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China

2. School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Liaoning Revitalization Talents Program

Nature Science Foundation of Liaoning Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221021/10532209/10443041.pdf?arnumber=10443041

Reference40 articles.

1. Reinforcement Learning for Partially Observable Dynamic Processes: Adaptive Dynamic Programming Using Measured Output Data

2. Discrete-Time Nonlinear HJB Solution Using Approximate Dynamic Programming: Convergence Proof

3. Neural-Network-Based Near-Optimal Control for a Class of Discrete-Time Affine Nonlinear Systems With Control Constraints

4. Adaptive Dynamic Programming for Control: A Survey and Recent Advances

5. Novel iterative neural dynamic programming for data-based approximate optimal control design

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