| 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 |
|