中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Helicopter Velocity Tracking Control by Adaptive Actor-Critic Reinforcement Method

文献类型:会议论文

作者Hu Y(胡飏); Chen Y(陈洋); Han JD(韩建达); Wang YC(王越超); Qi JT(齐俊桐)
出版日期2011
会议名称2011 IEEE International Conference on Robotics and Biomimetics (ROBIO)
会议日期December 7-11, 2011
会议地点Phuket, Thailand
关键词Helicopters Learning Mathematical model Robots Training Vectors Vehicle dynamics
页码1482-1486 1482-1486
中文摘要A robotic helicopter is an aircraft equipped with a sensing, computing, actuation, and communication infrastructure that allows it to execute a variety of tasks with autonomous mode. In this paper, we present an adaptive actor-critic reinforcement method to obtain near optimal controller for small autonomous helicopter. A network based on Q-value performs the critic and is trained by SARSA algorithm. A BP neural network, which is the actor network, generates control signal of helicopter dynamics. First, the proposed actor-critic reinforcement controller is introduced, then the algorithm is applied to an unmanned helicopter known as a highly nonlinear and complex system and the simulation results are presented.
收录类别EI
产权排序1
会议主办者IEEE Robotics and Automation Society
会议录2011 IEEE International Conference on Robotics and Biomimetics (ROBIO)
会议录出版者IEEE Computer Society
会议录出版地Piscataway, NJ
语种英语
ISBN号978-1-4577-2136-6
源URL[http://ir.sia.cn/handle/173321/8729]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Hu Y,Chen Y,Han JD,et al. Helicopter Velocity Tracking Control by Adaptive Actor-Critic Reinforcement Method[C]. 见:2011 IEEE International Conference on Robotics and Biomimetics (ROBIO). Phuket, Thailand. December 7-11, 2011.

入库方式: OAI收割

来源:沈阳自动化研究所

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