Recovering Robust Feedback Linearization With Generative Adversarial Networks for Uncertain High-Order Nonlinear Systems: A Path to Safe Learning and Practical Deployment-Reference-Cited by-同舟云学术

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Recovering Robust Feedback Linearization With Generative Adversarial Networks for Uncertain High-Order Nonlinear Systems: A Path to Safe Learning and Practical Deployment

Published:2024-11 Issue:11 Volume:71 Page:14886-14895
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Wen Nuan¹^ORCID,Liu Zhenghua¹^ORCID,Wang Weihong¹^ORCID,Wang Shaoping¹^ORCID

Affiliation:

1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/41/10639503/10462620.pdf?arnumber=10462620

Reference38 articles.

1. Generative adversarial networks

2. Evolutionary Architectural Search for Generative Adversarial Networks

3. Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications

4. A survey on text generation using generative adversarial networks

5. Disturbance-Aware Neuro-Optimal System Control Using Generative Adversarial Control Networks

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