Performance evaluation of the maximum correntropy criterion in identification systems

Abstract

The System identification explores ways to obtain mathematical models of an unknown system. However, as a result from the intrinsic random nature of system or from the environment noise, it is very hard to find a perfect mathematical representation of a real system. This paper aims to evaluate the Maximum Correntropy Criterion (MCC) performance using the… (More)
DOI: 10.1109/EAIS.2016.7502500

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Cite this paper

@article{Guimares2016PerformanceEO, title={Performance evaluation of the maximum correntropy criterion in identification systems}, author={Jo{\~a}o P. F. Guimar{\~a}es and Aluisio I. R. Fontes and Joilson B. A. Rego and Luiz F. Q. Silveira and Allan de M. Martins}, journal={2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)}, year={2016}, pages={110-113} }