Journal article
Non-Parametric Nonlinear System Identification : A Data-Driven Orthogonal Basis Function Approach
IEEE transactions on automatic control, Vol.53(11), pp.2615-2626
2008
DOI: 10.1109/TAC.2008.2007047
Abstract
In this paper, a data driven orthogonal basis function approach is proposed for non-parametric FIR nonlinear system identification. The basis functions are not fixed a priori and match the structure of the unknown system automatically. This eliminates the problem of blindly choosing the basis functions without a priori structural information. Further, based on the proposed basis functions, approaches are proposed for model order determination and regressor selection along with their theoretical justifications.
Details
- Title: Subtitle
- Non-Parametric Nonlinear System Identification : A Data-Driven Orthogonal Basis Function Approach
- Creators
- Er-Wei BAI - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, United States
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on automatic control, Vol.53(11), pp.2615-2626
- Publisher
- Institute of Electrical and Electronics Engineers
- DOI
- 10.1109/TAC.2008.2007047
- ISSN
- 0018-9286
- eISSN
- 1558-2523
- Language
- English
- Date published
- 2008
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984083896202771
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