Closed-Loop Adaptive Monte Carlo Framework for Uncertainty Forecasting in Nonlinear Dynamic Systems

Journal of Guidance Control and Dynamics ◽

10.2514/1.g003853 ◽

2019 ◽

Vol 42 (6) ◽

pp. 1218-1236

Author(s):

Chao Yang ◽

Mrinal Kumar

Keyword(s):

Monte Carlo ◽

Dynamic Systems ◽

Nonlinear Dynamic ◽

Closed Loop ◽

Nonlinear Dynamic Systems ◽

Adaptive Monte Carlo ◽

Monte Carlo Framework

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Bayesian Estimation via Sequential Monte Carlo Sampling: Unconstrained Nonlinear Dynamic Systems

Industrial & Engineering Chemistry Research ◽

10.1021/ie034010v ◽

2004 ◽

Vol 43 (14) ◽

pp. 4012-4025 ◽

Author(s):

Wen-shiang Chen ◽

Bhavik R. Bakshi ◽

Prem K. Goel ◽

Sridhar Ungarala

Keyword(s):

Monte Carlo ◽

Bayesian Estimation ◽

Dynamic Systems ◽

Nonlinear Dynamic ◽

Sequential Monte Carlo ◽

Monte Carlo Sampling ◽

Nonlinear Dynamic Systems

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A Closed-Loop Adaptive Monte Carlo Framework for Forecasting in GEO

AIAA Scitech 2019 Forum ◽

10.2514/6.2019-0444 ◽

2019 ◽

Author(s):

Chao Yang ◽

Mrinal Kumar

Keyword(s):

Monte Carlo ◽

Closed Loop ◽

Adaptive Monte Carlo ◽

Monte Carlo Framework

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Bayesian Estimation by Sequential Monte Carlo Sampling: Application to High-Dimensional Nonlinear Dynamic Systems

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)31834-7 ◽

2004 ◽

Vol 37 (9) ◽

pp. 341-346 ◽

Author(s):

Wen-shiang Chen ◽

Bhavik R. Bakshi ◽

Prem K. Goel ◽

Sridhar Ungarala

Keyword(s):

Monte Carlo ◽

Bayesian Estimation ◽

Dynamic Systems ◽

Nonlinear Dynamic ◽

Sequential Monte Carlo ◽

Monte Carlo Sampling ◽

Nonlinear Dynamic Systems ◽

High Dimensional

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A Monte Carlo approach to the evaluation of conditional expectation parameter estimates for nonlinear dynamic systems

IEEE Transactions on Automatic Control ◽

10.1109/tac.1968.1098789 ◽

1968 ◽

Vol 13 (1) ◽

pp. 29-37 ◽

Author(s):

R. McGhee ◽

R. Walford

Keyword(s):

Monte Carlo ◽

Dynamic Systems ◽

Conditional Expectation ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Parameter Estimates ◽

Monte Carlo Approach

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Monte Carlo Set-Membership Filtering for Nonlinear Dynamic Systems

Nonlinear Systems - Modeling, Estimation, and Stability ◽

10.5772/intechopen.74387 ◽

2018 ◽

Author(s):

Zhiguo Wang ◽

Xiaojing Shen ◽

Yunmin Zhu

Keyword(s):

Monte Carlo ◽

Dynamic Systems ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

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New sequential Monte Carlo methods for nonlinear dynamic systems

Statistics and Computing ◽

10.1007/s11222-005-6846-5 ◽

2005 ◽

Vol 15 (2) ◽

pp. 135-147 ◽

Author(s):

Dong Guo ◽

Xiaodong Wang ◽

Rong Chen

Keyword(s):

Monte Carlo ◽

Dynamic Systems ◽

Monte Carlo Methods ◽

Nonlinear Dynamic ◽

Sequential Monte Carlo ◽

Nonlinear Dynamic Systems ◽

Sequential Monte Carlo Methods

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Quasi-Monte Carlo filtering in nonlinear dynamic systems

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2006.873585 ◽

2006 ◽

Vol 54 (6) ◽

pp. 2087-2098 ◽

Author(s):

Dong Guo ◽

Xiaodong Wang

Keyword(s):

Monte Carlo ◽

Dynamic Systems ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Quasi Monte Carlo

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Recovery of State Vector of Nonlinear Dynamic Systems

Journal of Automation and Information Sciences ◽

10.1615/jautomatinfscien.v39.i9.10 ◽

2007 ◽

Vol 39 (9) ◽

pp. 1-15

Author(s):

Vsevold M. Kuntsevich

Keyword(s):

Dynamic Systems ◽

Nonlinear Dynamic ◽

State Vector ◽

Nonlinear Dynamic Systems

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Nonparametric Models for Nonlinear Dynamic Systems: A Case Study

10.23919/acc.1990.4790816 ◽

1990 ◽

Author(s):

Alexander A. Georgiev

Keyword(s):

Dynamic Systems ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Nonparametric Models

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Change detection in partially observed nonlinear dynamic systems with unknown change parameters

Proceedings of the 2004 American Control Conference ◽

10.23919/acc.2004.1384709 ◽

2004 ◽

Author(s):

N. Vaswani

Keyword(s):

Change Detection ◽

Dynamic Systems ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Partially Observed

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