Journal article
Towards Identification of Wiener Systems with the Least Amount of a priori Information: IIR Cases
Automatica (Oxford), Vol.45(4), pp.956-964
04/2009
DOI: 10.1016/j.automatica.2008.11.020
PMCID: PMC3587721
PMID: 23471210
Abstract
In this paper, we investigate what constitutes the least amount of a priori information on the nonlinearity so that the linear part is identifiable in the non-Gaussian input case. Under the white noise input, three types of a priori information are considered including quadrant information, point information and monotonic information. In all three cases, identifiability has been established and the corresponding nonparametric identification algorithms are developed along with their convergence proofs.
Details
- Title: Subtitle
- Towards Identification of Wiener Systems with the Least Amount of a priori Information: IIR Cases
- Creators
- Er-Wei Bai - Dept. of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa 52242John Reyland - Dept. of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa 52242
- Resource Type
- Journal article
- Publication Details
- Automatica (Oxford), Vol.45(4), pp.956-964
- DOI
- 10.1016/j.automatica.2008.11.020
- PMID
- 23471210
- PMCID
- PMC3587721
- NLM abbreviation
- Automatica (Oxf)
- ISSN
- 0005-1098
- eISSN
- 1873-2836
- Grant note
- R33 EB004287-05 || EB / National Institute of Biomedical Imaging and Bioengineering : NIBIB
- Language
- English
- Date published
- 04/2009
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984083297702771
Metrics
12 Record Views