(An) accelerated co-evolutionary algorithm and its application to attitude control design of flexible satellites = 가속화된 공진화 기법 및 유연구조 인공위성 자세제어계 설계 응용

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A new co-evolutionary algorithm, of which the convergence speed is accelerated by neural networks, is proposed and verified in this thesis. To reduce computational load required for co-evolutionary optimization processes, the cost function and constraint information is stored in the neural networks, and the extra offspring group, whose cost is computed by the neural networks, is generated. It increases the offspring population size without overloading computational effort; therefore, the convergence speed is accelerated. The proposed algorithm is applied to attitude control design of flexible satellites, and it is verified by computer simulations and experiments using a torque-free air bearing system.
Advisors
Tahk, Min-Jearesearcher탁민제researcher
Description
한국과학기술원 : 항공우주공학전공,
Publisher
한국과학기술원
Issue Date
2001
Identifier
166278/325007 / 000993151
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 항공우주공학전공, 2001.2, [ v, [53] p. ]

Keywords

flexible satellite; accelerated co-evolutionary algorithm; neural networks; 신경회로망; 유연구조 인공위성; 가속 공진화 기법

URI
http://hdl.handle.net/10203/26873
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=166278&flag=dissertation
Appears in Collection
AE-Theses_Master(석사논문)
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