Adaptive interacting particle system algorithm for aircraft conflict probability estimation
暂无分享,去创建一个
[1] S. Sastry,et al. Aircraft conflict prediction and resolution using Brownian motion , 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).
[2] Henk A. P. Blom,et al. Sequential Monte Carlo simulation of collision risk in free flight air traffic , 2005 .
[3] Bruno Tuffin,et al. Splitting for rare-event simulation , 2006, WSC.
[4] J. Albin. On Extremal Theory for Stationary Processes , 1990 .
[5] Henk Blom,et al. Collision risk modeling of air traffic , 2003, 2003 European Control Conference (ECC).
[6] Maria Prandini,et al. Air traffic complexity and the interacting particle system method: An integrated approach for collision risk estimation , 2011, Proceedings of the 2011 American Control Conference.
[7] Philip Heidelberger,et al. A Unified Framework for Simulating Markovian Models of Highly Dependable Systems , 1992, IEEE Trans. Computers.
[8] F. Gland,et al. Genetic genealogical models in rare event analysis , 2006 .
[9] Heinz Erzberger,et al. Conflict Probability Estimation Generalized to Non-Level Flight , 1999 .
[10] Huijun Gao,et al. Data-Driven Process Monitoring Based on Modified Orthogonal Projections to Latent Structures , 2016, IEEE Transactions on Control Systems Technology.
[11] Henk A. P. Blom,et al. Probabilistic reachability analysis for large scale stochastic hybrid systems , 2007, 2007 46th IEEE Conference on Decision and Control.
[12] Philip Heidelberger,et al. Fast simulation of rare events in queueing and reliability models , 1993, TOMC.
[13] Dirk P. Kroese,et al. A comparison of RESTART implementations , 1998, 1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274).
[14] D. Aldous. Probability Approximations via the Poisson Clumping Heuristic , 1988 .
[15] Paul Glasserman,et al. Multilevel Splitting for Estimating Rare Event Probabilities , 1999, Oper. Res..
[16] H. Blom,et al. Sequential Monte Carlo simulation of rare event probability in stochastic hybrid systems , 2005 .
[17] P. Shahabuddin,et al. Chapter 11 Rare-Event Simulation Techniques: An Introduction and Recent Advances , 2006, Simulation.
[18] E. Castillo. Extreme value and related models with applications in engineering and science , 2005 .
[19] B. Gnedenko. Sur La Distribution Limite Du Terme Maximum D'Une Serie Aleatoire , 1943 .
[20] Vivek S. Borkar,et al. Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation , 2006, Oper. Res..
[21] PAUL EMBRECHTS,et al. Modelling of extremal events in insurance and finance , 1994, Math. Methods Oper. Res..
[22] On extremal theory for self-similar processes , 1998 .
[23] Shen Yin,et al. Performance Monitoring for Vehicle Suspension System via Fuzzy Positivistic C-Means Clustering Based on Accelerometer Measurements , 2015, IEEE/ASME Transactions on Mechatronics.
[24] P. Moral,et al. Genealogical particle analysis of rare events , 2005, math/0602525.
[25] Jan-Kees C. W. van Ommeren,et al. On the importance function in splitting simulation , 2002, Eur. Trans. Telecommun..
[26] S. Nadarajah,et al. Extreme Value Distributions: Theory and Applications , 2000 .
[27] Okyay Kaynak,et al. Improved PLS Focused on Key-Performance-Indicator-Related Fault Diagnosis , 2015, IEEE Transactions on Industrial Electronics.
[28] Arnaud Guyader,et al. Some recent improvements to importance splitting , 2006 .
[29] Marvin K. Nakayama,et al. General conditions for bounded relative error in simulations of highly reliable Markovian systems , 1996, Advances in Applied Probability.
[30] Philip Heidelberger,et al. Measure specific dynamic importance sampling for availability simulations , 1987, WSC '87.
[31] R. Reiss,et al. Statistical Analysis of Extreme Values-with applications to insurance , 1997 .
[32] Shen Yin,et al. Adaptive Fuzzy Control of Strict-Feedback Nonlinear Time-Delay Systems With Unmodeled Dynamics , 2016, IEEE Transactions on Cybernetics.
[33] L. Haan,et al. Extreme value theory : an introduction , 2006 .
[34] José Villén-Altamirano,et al. RESTART: a straightforward method for fast simulation of rare events , 1994, Proceedings of Winter Simulation Conference.
[35] Heinz Erzberger,et al. Conflict Probability Estimation for Free Flight , 1997 .
[36] Shen Yin,et al. Intelligent Particle Filter and Its Application to Fault Detection of Nonlinear System , 2015, IEEE Transactions on Industrial Electronics.
[37] Jesús Carrera,et al. Multicomponent reactive transport in multicontinuum media , 2009 .
[38] Vijay Kumar,et al. A state event detection algorithm for numerically simulating hybrid systems with model singularities , 2007, TOMC.
[39] Gerardo Rubino,et al. Estimating the probability of a rare event over a finite time horizon , 2007, 2007 Winter Simulation Conference.
[40] Pierre Del Moral,et al. Sequential Monte Carlo for rare event estimation , 2012, Stat. Comput..
[41] Henk A. P. Blom,et al. Free Flight Collision Risk Estimation by Sequential MC Simulation , 2006 .
[42] Werner Sandmann,et al. On optimal importance sampling for discrete-time Markov chains , 2005, Second International Conference on the Quantitative Evaluation of Systems (QEST'05).
[43] J. Krystul,et al. A Particle System for Safety Verification of Free Flight in Air Traffic , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.
[44] On the asymptotic behaviour of Lévy processes, Part I: Subexponential and exponential processes , 2009 .
[45] Donald L. Iglehart,et al. Importance sampling for stochastic simulations , 1989 .
[46] F. Cérou,et al. Adaptive Multilevel Splitting for Rare Event Analysis , 2007 .
[47] Bruno Tuffin,et al. Rare events, splitting, and quasi-Monte Carlo , 2007, TOMC.
[48] Michael Lehning,et al. Extreme value statistics of snowfall in the Swiss Alpine region , 2009 .
[49] Christos Alexopoulos,et al. Estimating reliability measures for highly-dependable Markov systems, using balanced likelihood ratios , 2001, IEEE Trans. Reliab..