Journal article
Kernel-based local order estimation of nonlinear nonparametric systems
Automatica (Oxford), Vol.51(C), pp.243-254
01/2015
DOI: 10.1016/j.automatica.2014.10.069
Abstract
We consider the local order estimation of nonlinear autoregressive systems with exogenous inputs (NARX), which may have different local dimensions at different points. By minimizing the kernel-based local information criterion introduced in this paper, the strongly consistent estimates for the local orders of the NARX system at points of interest are obtained. The modification of the criterion and a simple procedure of searching the minimum of the criterion, are also discussed. The theoretical results derived here are tested by simulation examples.
Details
- Title: Subtitle
- Kernel-based local order estimation of nonlinear nonparametric systems
- Creators
- Wenxiao Zhao - Chinese Academy of SciencesHan-Fu ChenEr-wei BaiKang Li - Queen's University Belfast
- Resource Type
- Journal article
- Publication Details
- Automatica (Oxford), Vol.51(C), pp.243-254
- DOI
- 10.1016/j.automatica.2014.10.069
- ISSN
- 0005-1098
- eISSN
- 1873-2836
- Grant note
- name: National Key Basic Research Program of China (973 program), award: 2014CB845301; DOI: 10.13039/501100001809, name: National Natural Science Foundation (NSF) of China, award: 61104052, 61273193, 61227902, 61134013; name: 973 program of China, award: 2014CB845301; DOI: 10.13039/501100001809, name: NSF of China, award: 61273193, 61120106011, 61134013; DOI: 10.13039/501100001809, name: NSF, award: CNS-1329057; DOI: 10.13039/100000015, name: DOE, award: DE-FG52-09NA29364; DOI: 10.13039/501100000266, name: EPSRC project, award: EP/L001063/1
- Language
- English
- Date published
- 01/2015
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197197302771
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