Adaptive Extended Kalman Filter for Nonlinear System with Noise Compensating Technology

Zhou Sheng Ma; Wen Bing Fan

doi:10.4028/www.scientific.net/AMM.631-632.121

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 631-632Adaptive Extended Kalman Filter for Nonlinear...

Adaptive Extended Kalman Filter for Nonlinear System with Noise Compensating Technology

Abstract:

This paper is concerned with the development of new adaptive nonlinear Kalman estimators which incorporate nonlinear model errors and noise statistical characteristic errors. With the adoption of fictitious noise compensation technique and actual non-divergent computation method, the new filters are aimed at compensating the nonlinear dynamics as well as the system modeling errors by adaptively estimating the noise statistics and unknown parameters. The performance of the proposed adaptive estimators is demonstrated using six-state with varying model parameters as a simulation example.

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Periodical:

Applied Mechanics and Materials (Volumes 631-632)

Pages:

121-124

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.631-632.121

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Online since:

September 2014

Authors:

Zhou Sheng Ma*, Wen Bing Fan

Keywords:

Adaptive Algorithm, Extended Kalman Filter (EKF), Noise Estimators, Nonlinear

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* - Corresponding Author

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