Journal article
Identification of linear systems with hard input nonlinearities of known structure
Automatica (Oxford), Vol.38(5), pp.853-860
2002
DOI: 10.1016/S0005-1098(01)00281-3
Abstract
This paper studies identification of systems with input nonlinearities of known structure. For input nonlinearities parameterized by one parameter, a deterministic approach is proposed based on the idea of separable least squares. The identification problem is shown to be equivalent to an one-dimensional minimization problem. The method is very effective for several common static and nonstatic input nonlinearities. For a general input nonlinearity, a correlation analysis based identification algorithm is presented which is shown to be convergent.
Details
- Title: Subtitle
- Identification of linear systems with hard input nonlinearities of known structure
- Creators
- Er-Wei Bai - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, USA
- Resource Type
- Journal article
- Publication Details
- Automatica (Oxford), Vol.38(5), pp.853-860
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/S0005-1098(01)00281-3
- ISSN
- 0005-1098
- eISSN
- 1873-2836
- Language
- English
- Date published
- 2002
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984083846202771
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