Journal article
Variable selection in identification of a high dimensional nonlinear non-parametric system
Control theory and technology, Vol.13(1), pp.1-16
02/2015
DOI: 10.1007/s11768-015-5010-9
Abstract
The problem of variable selection in system identification of a high dimensional nonlinear non-parametric system is described. The inherent difficulty, the curse of dimensionality, is introduced. Then its connections to various topics and research areas are briefly discussed, including order determination, pattern recognition, data mining, machine learning, statistical regression and manifold embedding. Finally, some results of variable selection in system identification in the recent literature are presented.
Details
- Title: Subtitle
- Variable selection in identification of a high dimensional nonlinear non-parametric system
- Creators
- Er-Wei BaiWenxiao ZhaoWeixing Zheng
- Resource Type
- Journal article
- Publication Details
- Control theory and technology, Vol.13(1), pp.1-16
- DOI
- 10.1007/s11768-015-5010-9
- ISSN
- 2095-6983
- eISSN
- 2198-0942
- Language
- English
- Date published
- 02/2015
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984083224202771
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