Author

Sheng Cai

Advisor

Cheng, Yang

Committee Member

Xin, Ming

Committee Member

Li, Pan

Date of Degree

1-1-2014

Original embargo terms

MSU Only Indefinitely

Document Type

Graduate Thesis - Open Access

Department

Department of Aerospace Engineering

Abstract

In science and engineering research, filtering or estimation of system’s states is widely used and developed, so the structure of a new nonlinear filter is proposed. This thesis focuses on the procedures of propagation and update step of the new filter. The algorithms used in the filter, including generalized Polynomial Chaos Algorithms, Markov Chain Monte Carlo algorithms, and Gaussian Mixture Model algorithms, are introduced. Then, the propagation and update step of the proposed filter are applied in solving two nonlinear problems: Van der Pol Oscillator and Two Body System. The simulation shows that the results of the propagation and update step are reasonable and their designs are valuable for further tests. The propagation step has the same accuracy level compared with a Quasi Monte Carlo simulation while using a much smaller number of points. The update step can build a useful Gaussian Mixture Model as the posterior distribution.

URI

https://hdl.handle.net/11668/19876

Available for download on Wednesday, August 15, 2114

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