標題: Intelligent Missile Guidance by Using Adaptive Recurrent Neural Networks
作者: Wang, Chi-Hsu
Chen, Chun-Yao
交大名義發表
電機工程學系
National Chiao Tung University
Department of Electrical and Computer Engineering
關鍵字: Missile guidance;recurrent neural network (RNN);Lyapunov constraints
公開日期: 2014
摘要: In this paper, an adaptive recurrent neural network (RNN) controller is proposed for missile guidance. We address the problem of one agent (defending missiles) and one target (incoming missiles) in air battle scenario. The RNN controller is designed to force an agent (or defending missile) toward a target (or incoming missile), and a monitoring controller is also designed to reduce the error between the RNN controller and ideal one. The former is the main controller that can be easily designed. Its weighting factors are activated to dispatch the agent toward the target. By using the Lyapunov constraints, we update the weighting factors for the proposed RNN controller to guarantee the stability of the path evolution (or planning) system. Excellent simulation results are obtained by using this new approach for missile guidance, which show that our RNN has the lowest average miss distance (MD) among the several techniques.
URI: http://hdl.handle.net/11536/25126
ISBN: 978-1-4799-3106-4
ISSN: 1810-7869
期刊: 2014 IEEE 11TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC)
起始頁: 559
結束頁: 564
顯示於類別:會議論文