NDLI: Robust nonlinear parameter estimation for bounded error models using Isomap

Content Provider	IEEE Xplore Digital Library
Author	Wei Chai
Copyright Year	2015
Description	Author affiliation: Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China (Wei Chai)
Abstract	This paper proposes a robust parameter estimation method for nonlinear models with bounded errors. The purpose of this method is to characterize the set of all the parameter vectors consistent with the data, model structure and error bounds. This set is called the feasible parameter set (FPS). The method uses Isomap to construct a mapping which can approximate the homeomorphism between the FPS boundary and the n-1-sphere (n is the number of parameters). Once this mapping is established, it can be used to map the n-1-sphere into an approximation of the FPS boundary. The performance of the proposed method is provided by two examples. The simulation results show that the proposed method exhibits superior accuracy compared with the support vector machine method.
Starting Page	2879
Ending Page	2884
File Size	1072639
Page Count	6
File Format	PDF
e-ISBN	9781467391047
DOI	10.1109/ICInfA.2015.7279778
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	bounded errors Estimation Robust estimation Indexes Isomap nonlinear models
Content Type	Text
Resource Type	Article

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Robust nonlinear parameter estimation for bounded error models using Isomap