Coupled Subset Simulation and Moving Least-Squares Method for Reliability-Based Control Optimization

认证 航空安全 代理(哲学) 航空 运筹学 计算机科学 飞行动力学 控制(管理) 可靠性(半导体) 航空学 工程类 政治学 航空航天工程 法学 人工智能 物理 空气动力学 社会学 功率(物理) 量子力学 社会科学
作者
Dalong Shi,Florian Holzapfel
出处
期刊:Journal of Guidance Control and Dynamics [American Institute of Aeronautics and Astronautics]
卷期号:44 (8): 1550-1558 被引量:4
标识
DOI:10.2514/1.g005786
摘要

No AccessEngineering NotesCoupled Subset Simulation and Moving Least-Squares Method for Reliability-Based Control OptimizationDalong Shi and Florian HolzapfelDalong ShiTechnical University of Munich, 85748 Garching, Germany*Ph.D. Candidate, Institute of Flight System Dynamics.Search for more papers by this author and Florian HolzapfelTechnical University of Munich, 85748 Garching, Germany†Professor, Institute of Flight System Dynamics. Associate Fellow AIAA.Search for more papers by this authorPublished Online:3 May 2021https://doi.org/10.2514/1.G005786SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail About References [1] Easy Access Rules for All Weather Operations (CS-AWO), European Aviation Safety Agency, 2018, p. 15, https://www.easa.europa.eu/document-library/easy-access-rules/easy-access-rules-all-weather-operations-cs-awo-initial-issue. 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M., Beck J. L., Au S.-K. and Katafygiotis L. S., “Bayesian Post-Processor and Other Enhancements of Subset Simulation for Estimating Failure Probabilities in High Dimensions,” Computers and Structures, Vol. 92, Feb. 2012, pp. 283–296. https://doi.org/10.1016/j.compstruc.2011.10.017 CrossrefGoogle Scholar[24] Papaioannou I., Betz W., Zwirglmaier K. and Straub D., “MCMC Algorithms for Subset Simulation,” Probabilistic Engineering Mechanics, Vol. 41, July 2015, pp. 89–103. https://doi.org/10.1016/j.probengmech.2015.06.006 CrossrefGoogle Scholar[25] Moorhouse D. and Woodcock R. (eds.), US Military Specification MIL-F-8785C, US Department of Defense, 1980, p. 48, Chap. 3. Google Scholar[26] Shi D., Fang X. and Holzapfel F., “Polynomial Chaos-Based Flight Control Optimization with Guaranteed Probabilistic Performance,” 21th IFAC World Congress, 2020, pp. 7274–7279. https://doi.org/10.1016/j.ifacol.2020.12.565 Google Scholar[27] “Surrogateopt: Surrogate Optimization for Global Minimization of Time-Consuming Objective Functions,” MathWorks, 2018, https://www.mathworks.com/help/gads/surrogateopt.html [retrieved 8 Sept. 2020]. Google Scholar Previous article Next article FiguresReferencesRelatedDetailsCited byA Refined Kriging Surrogate Model for Subset SimulationDavid Braun, Dalong Shi, Florian Schwaiger and Florian Holzapfel29 December 2021A Modular Subset Simulation Toolbox for MatlabFlorian Schwaiger, Dalong Shi, Chinmaya Mishra, Lukas Höhndorf and Florian Holzapfel29 December 2021 What's Popular Volume 44, Number 8August 2021 CrossmarkInformationCopyright © 2021 by the authors. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. All requests for copying and permission to reprint should be submitted to CCC at www.copyright.com; employ the eISSN 1533-6794 to initiate your request. See also AIAA Rights and Permissions www.aiaa.org/randp. TopicsAlgorithms and Data StructuresArtificial IntelligenceArtificial Neural NetworkComputer Programming and LanguageComputing SystemComputing and InformaticsComputing, Information, and CommunicationControl TheoryData ScienceGuidance, Navigation, and Control SystemsMachine LearningOptimal Control TheoryOptimization AlgorithmSearch Algorithm KeywordsProportional Integral DerivativeSurrogate ModelFlight Control DesignCumulative Distribution FunctionElevator DeflectionSupport Vector MachineOptimization AlgorithmMonte Carlo SimulationAerospace EngineeringStructural MechanicsAcknowledgmentDalong Shi acknowledges the support of the China Scholarship Council.PDF Received12 November 2020Accepted18 March 2021Published online3 May 2021

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