Self-Triggered Approximate Optimal Neuro-Control for Nonlinear Systems Through Adaptive Dynamic Programming-Reference-Cited by-同舟云学术

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Self-Triggered Approximate Optimal Neuro-Control for Nonlinear Systems Through Adaptive Dynamic Programming

Published:2024 Issue: Volume: Page:1-11
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Zhao Bo¹^ORCID,Zhang Shunchao²^ORCID,Liu Derong³^ORCID

Affiliation:

1. School of Systems Science, Beijing Normal University, Beijing, China

2. School of Internet Finance and Information Engineering, Guangdong University of Finance, Guangzhou, China

3. School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Beijing Normal University Tang Scholar

Open Research Project of the Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10436121.pdf?arnumber=10436121

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Event-triggered optimal trajectory tracking control of underactuated ships based on goal representation heuristic dynamic programming;Ocean Engineering;2024-09

2. Reconstructing damaged fNIRS signals with a generative deep learning model;2024-08-28

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