Reinforcement Learning Control for a 2-DOF Helicopter With State Constraints: Theory and Experiments-Reference-Cited by-同舟云学术

Reinforcement Learning Control for a 2-DOF Helicopter With State Constraints: Theory and Experiments

Author:

Zhao Zhijia¹^ORCID,He Weitian¹^ORCID,Mu Chaoxu²^ORCID,Zou Tao¹^ORCID,Hong Keum-Shik³^ORCID,Li Han-Xiong⁴^ORCID

Affiliation:

1. School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, China

2. School of Electrical and Information Engineering, Tianjin University, Tianjin, China

3. School of Mechanical Engineering, Pusan National University, Busan, South Korea

4. Department of Advanced Design and Systems Engineering, City University of Hong Kong, Hong Kong, Hong Kong

Funder

National Natural Science Foundation of China

Scientific Research Projects of Guangzhou Education Bureau

Science and Technology Planning Project of Guangzhou City

Guangzhou University-Hong Kong University of Science and Technology Joint Research Collaboration Fund

Open Research Fund from the Guangdong Laboratory of Artificial Intelligence and Digital Economy [Shenzhen (SZ)]

Tianjin Natural Science Foundation

Korea Institute of Energy Technology Evaluation and Planning through the Auspices of the Ministry of Trade, Industry and Energy, Republic of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

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