NDLI: Adaptive Gauss Hermite filter for parameter varying nonlinear systems

Content Provider	IEEE Xplore Digital Library
Author	Dey, A. Sadhu, S. Ghoshal, T.K.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., Jadavpur Univ., Kolkata, India (Dey, A.; Sadhu, S.; Ghoshal, T.K.)
Abstract	This paper presents an adaptive sigma point filter based on Gauss Hermite quadrature rule for estimation of unknown time varying parameters and states of nonlinear systems. An adaptive filter is required for such problems because of the unknown parameter variation which often makes the knowledge of the process noise covariance unavailable. The performance of the proposed filter which adapts to the time varying process noise is evaluated using a case study. The simulation results demonstrate that the proposed filter apart from estimating the states can successfully track and estimate the time varying parameter. From Monte Carlo study it is further observed that the performance of the adaptive Gauss Hermite filter is superior compared with its non adaptive version in the perspective of time varying parameter estimation.
Starting Page	1
Ending Page	5
File Size	5030151
Page Count	5
File Format	PDF
e-ISBN	9781479946655
DOI	10.1109/SPCOM.2014.6983948
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-22
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive systems Parameter estimation Noise Adaptive filters Estimation Nonlinear filters Nonlinear filtering Filtering algorithms Time varying parameters Nonlinear systems State estimation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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