Swarm and evolutionary computing algorithms for system identification and filter design: a comprehensive review

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dc.contributor.author Gotmare, Akhilesh
dc.contributor.author Bhattacharjee, Sankha Subhra
dc.contributor.author Patidar, Rohan
dc.contributor.author George, Nithin V.
dc.date.accessioned 2016-06-29T05:58:04Z
dc.date.available 2016-06-29T05:58:04Z
dc.date.issued 2017-02
dc.identifier.citation Gotmare, Akhilesh; Bhattacharjee, Sankha Subhra; Patidar, Rohan and George, Nithin V., “Swarm and evolutionary computing algorithms for system identification and filter design: a comprehensive review”, Swarm and Evolutionary Computation, DOI: 10.1016/j.swevo.2016.06.007, Feb. 2017. en_US
dc.identifier.issn 2210-6502
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/2351
dc.identifier.uri http://dx.doi.org/10.1016/j.swevo.2016.06.007
dc.description.abstract An exhaustive review on the use of structured stochastic search approaches towards system identification and digital filter design is presented in this paper. In particular, the paper focuses on the identification of various systems using infinite impulse response adaptive filters and Hammerstein models as well as on the estimation of chaotic systems. In addition to presenting a comprehensive review on the various swarm and evolutionary computing schemes employed for system identification as well as digital filter design, the paper is also envisioned to act as a quick reference for a few popular evolutionary computing algorithms. en_US
dc.description.statementofresponsibility by Akhilesh Gotmare, Sankha Subhra Bhattacharjee, Rohan Patidar and Nithin V. George
dc.format.extent Vol. 32, pp. 68-84
dc.language.iso en_US en_US
dc.publisher Elsevier en_US
dc.subject Chaotic system en_US
dc.subject Evolutionary computing en_US
dc.subject Filter design en_US
dc.subject Hammerstein model en_US
dc.subject Swarm intelligence en_US
dc.subject System identification en_US
dc.title Swarm and evolutionary computing algorithms for system identification and filter design: a comprehensive review en_US
dc.type Article en_US
dc.relation.journal Swarm and Evolutionary Computation


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