Support Vector Regression-Based Adaptive Divided Difference Filter for Nonlinear State Estimation Problems

Support Vector Regression-Based Adaptive Divided Difference Filter for Nonlinear State Estimation Problems

We present a support vector regression-based adaptive divided difference filter (SVRADDF) algorithm for improving the low state estimation accuracy of nonlinear systems, which are typically affected by large initial estimation errors and imprecise prior knowledge of process and measurement noises. T...

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Bibliographic Details
Main Authors:	Hongjian Wang, Jinlong Xu, Aihua Zhang, Cun Li, Hongfei Yao
Format:	Article
Language:	English
Published:	Hindawi Limited 2014-01-01
Series:	Journal of Applied Mathematics
Online Access:	http://dx.doi.org/10.1155/2014/139503

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