Journal article
Robust system identification with noisy experimental data: Projection operator and linear algorithms
Automatica (Oxford), Vol.30(7), pp.1203-1206
1994
DOI: 10.1016/0005-1098(94)90215-1
Abstract
In this paper we consider the problem of robust system identification with noisy time or frequency response measurement data. It is shown here that any linear identification algorithm which is convergent in the noise free case can be made robustly convergent in the presence of noise by incorporating a simple projection operator into the algorithm. The computational simplicity and faster rate of convergence distinguish this approach from other existing robustly convergent nonlinear identification techniques.
Details
- Title: Subtitle
- Robust system identification with noisy experimental data: Projection operator and linear algorithms
- Creators
- Er-Wei Bai - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, U.S.ASundar Raman - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, U.S.A
- Resource Type
- Journal article
- Publication Details
- Automatica (Oxford), Vol.30(7), pp.1203-1206
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/0005-1098(94)90215-1
- ISSN
- 0005-1098
- eISSN
- 1873-2836
- Language
- English
- Date published
- 1994
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984083201602771
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