Analysis and implementation of pursuit-evasion games = 추적-회피 게임의 해석 및 응용에 관한 연구

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This thesis deals with numerical analysis and practical implementation of pursuit-evasion games. As the need for developing a guidance law that provides good interception performance against an intelligent target, increases, pursuit-evasion game becomes an attractive concept in missile guidance. For the sake of implementing game solutions into real situations, it is indispensable to build a reliable numerical method able to take into account realistic engagement situations, as well as to construct a feedback guidance law from the numerical solutions. This thesis proposes a co-evolutionary method for solving pursuit-evasion games and a neural network feedback guidance law based on game solutions. The gradient-based method provides very precise numerical solutions for pursuit-evasion games. It contains some shortcomings, though, of difficulty in initial guess, and incapability of considering lethal radius or miss distance. In this thesis, a co-evolutionary method is proposed to supplement these shortcomings of the gradient-based method with numerical verification. In addition, the neural network is employed in order to build a feedback. guidance law from the numerical game solutions obtained by using the gradient-based method. Accompanying with performance enhancing techniques for the neural network guidance, numerical simulations are performed to compare the proposed guidance law with proportional navigation.
Advisors
Tahk, Min-Jearesearcher탁민제researcher
Description
한국과학기술원 : 항공우주공학전공,
Publisher
한국과학기술원
Issue Date
2002
Identifier
174188/325007 / 020003567
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 항공우주공학전공, 2002.2, [ vii, 62 p. ]

Keywords

Neural Network; Gradient-Based Method; Co-Evolutionary Algorithm; Pursuit-Evasion Game; Missile Guidance; 미사일 유도; 신경회로망; 구배-기반 방법; 공진화 알고리듬; 추적-회피 게임

URI
http://hdl.handle.net/10203/26890
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=174188&flag=dissertation
Appears in Collection
AE-Theses_Master(석사논문)
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