Citation Export
DC Field | Value | Language |
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dc.contributor.author | Kim, Junyoung | - |
dc.contributor.author | Jung, Soyi | - |
dc.date.issued | 2024-01-01 | - |
dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/37127 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85189239523&origin=inward | - |
dc.description.abstract | Recently, as the utilization of unmanned aerial vehicles (UAVs) extends into increasingly varied domains, the control of UAV flight dynamics has become crucial. This paper presents an innovative approach for controlling UAV flight dynamics based on the deep deterministic policy gradient (DDPG) algorithm within the reinforcement learning (RL) paradigm. The proposed method is designed to rapidly adapt and maintain stable flight attitudes, outperforming conventional proportional integral derivative (PID) control methods. Utilizing a quadcopter UAV model equipped with four motors as the basis, this paper presents a strategy for UAV flight dynamics control. This strategy demonstrates flexibility and efficiency in a variety of scenarios and is scalable to accommodate UAVs of larger dimensions. | - |
dc.language.iso | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.subject.mesh | Aerial vehicle | - |
dc.subject.mesh | Deep deterministic policy gradient | - |
dc.subject.mesh | Deterministics | - |
dc.subject.mesh | Innovative approaches | - |
dc.subject.mesh | Learning strategy | - |
dc.subject.mesh | Policy gradient | - |
dc.subject.mesh | Quad rotors | - |
dc.subject.mesh | Reinforcement learnings | - |
dc.subject.mesh | Unmanned aerial vehicle | - |
dc.subject.mesh | Vehicle stability | - |
dc.title | Enhancing UAV Stability: A Deep Reinforcement Learning Strategy | - |
dc.type | Conference | - |
dc.citation.conferenceDate | 2024.1.28. ~ 2024.1.31. | - |
dc.citation.conferenceName | 2024 International Conference on Electronics, Information, and Communication, ICEIC 2024 | - |
dc.citation.edition | 2024 International Conference on Electronics, Information, and Communication, ICEIC 2024 | - |
dc.citation.title | 2024 International Conference on Electronics, Information, and Communication, ICEIC 2024 | - |
dc.identifier.bibliographicCitation | 2024 International Conference on Electronics, Information, and Communication, ICEIC 2024 | - |
dc.identifier.doi | 10.1109/iceic61013.2024.10457214 | - |
dc.identifier.scopusid | 2-s2.0-85189239523 | - |
dc.identifier.url | http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=10457047 | - |
dc.subject.keyword | Attitude Control | - |
dc.subject.keyword | DDPG | - |
dc.subject.keyword | Quadrotor | - |
dc.subject.keyword | Reinforcement Learning | - |
dc.subject.keyword | UAV | - |
dc.type.other | Conference Paper | - |
dc.description.isoa | false | - |
dc.subject.subarea | Computer Networks and Communications | - |
dc.subject.subarea | Computer Science Applications | - |
dc.subject.subarea | Hardware and Architecture | - |
dc.subject.subarea | Information Systems | - |
dc.subject.subarea | Energy Engineering and Power Technology | - |
dc.subject.subarea | Electrical and Electronic Engineering | - |
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