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Computational Optimization of Networks of Dynamical Systems Under Uncertainties: Application to the Air Transportation System

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개인저자Chen, Jun.
단체저자명Purdue University. Aeronautics and Astronautics.
서명/저자사항Computational Optimization of Networks of Dynamical Systems Under Uncertainties: Application to the Air Transportation System.
발행사항[S.l.] : Purdue University., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항131 p.
소장본 주기School code: 0183.
ISBN9780438017498
일반주기 Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Dengfeng Sun.
요약To efficiently balance traffic demand and capacity, optimization of air traffic management relies on accurate predictions of future capacities, which are inherently uncertain due to weather forecast. This dissertation presents a novel computatio
요약First, a chance constrained model for a single airport ground holding problem is proposed with the concept of service level, which provides a event-oriented performance criterion for uncertainty. With the validated advantage on robust optimal pl
요약Following the similar idea, the chance constrained model is extended to formulate a traffic flow management problem under probabilistic sector capacities, which is derived from a previous deterministic linear model. The nonlinearity from the cha
요약Finally, the specially designed architecture of the convex approximation provides massive independent internal approximation processes, which makes parallel computing to be suitable. A distributed computing framework is designed based on Spark,
일반주제명Aerospace engineering.
언어영어
기본자료 저록Dissertation Abstracts International79-10B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14997337

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