Conference proceeding
Is Wiener/Hammerstein system identification really nonlinear?
49th IEEE Conference on Decision and Control (CDC), pp.1171-1176
12/2010
DOI: 10.1109/CDC.2010.5717703
Abstract
Currently, a number of methods exist for identifying nonlinear Wiener and Hammerstein systems. However, there is no attempt to address the fundamental questions of how nonlinear these identifications really are and why the existing methods work? In this paper, we try to answer the questions by investigating the objective function used to identify those systems. The results show that for both Hammerstein and Wiener identifications, the cost function is globally monotone has one and only one minimum.
Details
- Title: Subtitle
- Is Wiener/Hammerstein system identification really nonlinear?
- Creators
- Zhijun Cai - University of IowaEr-Wei Bai - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- 49th IEEE Conference on Decision and Control (CDC), pp.1171-1176
- Publisher
- IEEE
- DOI
- 10.1109/CDC.2010.5717703
- ISSN
- 0191-2216
- Language
- English
- Date published
- 12/2010
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197236802771
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