Trajectory Correction of the Rocket for Aerodynamic Load Shedding Based on Deep Neural Network and the Chaotic Evolution Strategy With Covariance Matrix Adaptation

Cheng, Guanghui; Hu, Yudong; Jing, Wuxing; An, Ruoming; Gao, Changsheng

doi:10.1109/taes.2023.3331676

IEEE Trans. Aerosp. Electron. Syst.

2024

DOI: 10.1109/taes.2023.3331676

|View full text |Cite

Trajectory Correction of the Rocket for Aerodynamic Load Shedding Based on Deep Neural Network and the Chaotic Evolution Strategy With Covariance Matrix Adaptation

Guanghui Cheng,

Yudong Hu,

Wuxing Jing

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Parameters Designing of the Sliding Mode Control for the Reusable Launch Vehicle Based on Deep Reinforcement Learning and Evolution Strategy

Cheng,

Hu,

Jing

et al. 2023

2023 China Automation Congress (CAC)

View full text Add to dashboard Cite

Parameters Designing of the Sliding Mode Control for the Reusable Launch Vehicle Based on Deep Reinforcement Learning and Evolution Strategy

Cheng,

Hu,

Jing

et al. 2023

2023 China Automation Congress (CAC)

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Trajectory Correction of the Rocket for Aerodynamic Load Shedding Based on Deep Neural Network and the Chaotic Evolution Strategy With Covariance Matrix Adaptation

Cited by 1 publication

References 37 publications

Parameters Designing of the Sliding Mode Control for the Reusable Launch Vehicle Based on Deep Reinforcement Learning and Evolution Strategy

Parameters Designing of the Sliding Mode Control for the Reusable Launch Vehicle Based on Deep Reinforcement Learning and Evolution Strategy

Contact Info

Product

Resources

About