DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Tahk, Min-Jea | - |
dc.contributor.advisor | 탁민제 | - |
dc.contributor.author | Choi, Han-Lim | - |
dc.contributor.author | 최한림 | - |
dc.date.accessioned | 2011-12-12T07:21:09Z | - |
dc.date.available | 2011-12-12T07:21:09Z | - |
dc.date.issued | 2002 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=174188&flag=dissertation | - |
dc.identifier.uri | http://hdl.handle.net/10203/26890 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 항공우주공학전공, 2002.2, [ vii, 62 p. ] | - |
dc.description.abstract | 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. | eng |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Neural Network | - |
dc.subject | Gradient-Based Method | - |
dc.subject | Co-Evolutionary Algorithm | - |
dc.subject | Pursuit-Evasion Game | - |
dc.subject | Missile Guidance | - |
dc.subject | 미사일 유도 | - |
dc.subject | 신경회로망 | - |
dc.subject | 구배-기반 방법 | - |
dc.subject | 공진화 알고리듬 | - |
dc.subject | 추적-회피 게임 | - |
dc.title | Analysis and implementation of pursuit-evasion games | - |
dc.title.alternative | 추적-회피 게임의 해석 및 응용에 관한 연구 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 174188/325007 | - |
dc.description.department | 한국과학기술원 : 항공우주공학전공, | - |
dc.identifier.uid | 020003567 | - |
dc.contributor.localauthor | Tahk, Min-Jea | - |
dc.contributor.localauthor | 탁민제 | - |
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