Development of a novel robust identification scheme for nonlinear dynamic systems

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dc.contributor.author George, Nithin V.
dc.contributor.author Panda, Ganapati
dc.date.accessioned 2014-03-18T18:38:52Z
dc.date.available 2014-03-18T18:38:52Z
dc.date.issued 2015-03
dc.identifier.citation George, Nithin V. and Panda, Ganapati, "Development of a novel robust identification scheme for nonlinear dynamic systems", International Journal of Adaptive Control and Signal Processing, DOI: 10.1002/acs.2482, vol. 29, no. 3, pp. 385-406, Mar. 2015.
dc.identifier.issn 0890-6327
dc.identifier.uri http://dx.doi.org/10.1002/acs.2482
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/923
dc.description.abstract This paper presents a set of single layer low complexity nonlinear adaptive models for efficient identification of dynamic systems in the presence of outliers in the training signal. The weights of the new models have been updated using a new robust learning algorithm. The proposed robust algorithm is based on adaptive minimization of Wilcoxon norm of errors. The computational complexity associated with the new models has further been reduced by processing the input in block form and using a newly derived robust block learning algorithm. Through exhaustive simulation study of many benchmark identification examples, it has been shown that in all cases, the new models provide enhanced and robust identification performance compared with that provided by the corresponding conventional squared error-based approaches. en_US
dc.description.statementofresponsibility by Nithin V. George and Ganapati Panda
dc.format.extent vol. 29, no. 3, pp. 385-406
dc.language.iso en en_US
dc.publisher Wiley en_US
dc.subject Dynamic system en_US
dc.subject System identification en_US
dc.subject Wilcoxon norm en_US
dc.title Development of a novel robust identification scheme for nonlinear dynamic systems en_US
dc.type Article en_US
dc.relation.journal International Journal of Adaptive Control and Signal Processing


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