Journal article
A Data-Driven Orthogonal Basis Function Approach for Non-Parametric Nonlinear System Identification
IFAC Proceedings Volumes, Vol.42(10), pp.1322-1327
2009
DOI: 10.3182/20090706-3-FR-2004.00220
Abstract
A data driven orthogonal basis function approach is proposed for non-parametric FIR nonlinear system identification. This eliminates the problem of blindly choosing the basis functions without a priori structural information. Extension to deterministic inputs are also presented. 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
- A Data-Driven Orthogonal Basis Function Approach for Non-Parametric Nonlinear System Identification
- Creators
- Er-Wei Bai - Dept. of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa 52242
- Resource Type
- Journal article
- Publication Details
- IFAC Proceedings Volumes, Vol.42(10), pp.1322-1327
- DOI
- 10.3182/20090706-3-FR-2004.00220
- ISSN
- 1474-6670
- Language
- English
- Date published
- 2009
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984573939702771
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