On a cuckoo search optimization approach towards feedback system identification

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dc.contributor.author Patwardhan, Apoorv P.
dc.contributor.author Patidar, Rohan
dc.contributor.author George, Nithin V.
dc.date.accessioned 2014-06-26T05:14:07Z
dc.date.available 2014-06-26T05:14:07Z
dc.date.issued 2014-09
dc.identifier.citation Patwardhan, Apoorv; Patidar, Rohan and George, Nithin V., "On a cuckoo search optimization approach towards feedback system identification", Digital Signal Processing, DOI: 10.1016/j.dsp.2014.05.008, 2014. en_US
dc.identifier.issn 1051-2004
dc.identifier.uri http://dx.doi.org/10.1016/j.dsp.2014.05.008
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/1317
dc.description.abstract This paper presents a cuckoo search algorithm (CSA) based adaptive infinite impulse response (IIR) system identification scheme. The proposed scheme prevents the local minima problem encountered in conventional IIR modeling mechanisms. The performance of the new method has been compared with that obtained by other evolutionary computing algorithms like genetic algorithm (GA) and particle swarm optimization (PSO). The superior system identification capability of the proposed scheme is evident from the results obtained through an exhaustive simulation study. en_US
dc.description.statementofresponsibility by Apoorv Patwardhan, Rohan Patidar and Nithin V. George
dc.format.extent vol. 32, pp. 156-163
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Cuckoo search algorithm en_US
dc.subject Genetic algorithm en_US
dc.subject IIR system en_US
dc.subject Particle swarm optimization algorithm en_US
dc.subject System identification en_US
dc.title On a cuckoo search optimization approach towards feedback system identification en_US
dc.type Article en_US
dc.relation.journal Digital Signal Processing


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