제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 2001년도 ICCAS
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- Pages.156.3-156
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- 2001
Synthesis and Investigation of the Neural Network Guidance Based on Pursuit-Evasion Games
- Park, Han-Lim (Korea Advanced Institute of Science and technology) ;
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Tahk, Min-Jea
(Korea Advanced Institute of Science and technology) ;
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Bang, Hyo-Choong
(Korea Advanced Institute of Science and technology) ;
- Lee, Hun-Gu (Space Technology Research Center)
- 발행 : 2001.10.01
초록
This paper handles synthesis and investigation of a neural network guidance law based on pursuit-evasion games. This work considers two-dimensional pursuit-evasion games solved by using the gradient method. The procedure of developing a guidance law from the game-optimal solutions is deeply examined, and important features of the neural network guidance are investigated. The proposed neural network guidance law takes the range, range rate, line-of-sight rate, and heading error as its input variables. By reconstructing the trajectory, the accuracy of the neural network approximation is verified. Afterwards, robustness of the neural network guidance to the autopilot lag, which results from its feedback structure, is investigated ...
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