Engineering and computational modeling of adaptive nonlinear internal models formed by central nervous system  : an approach based on adaptive filters and nonlinear system modeling and identification

Publication:

Engineering and computational modeling of adaptive nonlinear internal models formed by central nervous system : an approach based on adaptive filters and nonlinear system modeling and identification

dc.contributor.author	Ghous, Asim	en_US
dc.date.accessioned	2022-03-17T21:33:18Z
dc.date.available	2022-03-17T21:33:18Z
dc.date.issued	2006	en_US
dc.identifier.uri	http://hdl.handle.net/1959.4/62921
dc.language	English
dc.language.iso	EN	en_US
dc.publisher	UNSW, Sydney	en_US
dc.rights	CC BY-NC-ND 3.0	en_US
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/3.0/au/	en_US
dc.source	Thesis Digitisation Program	en_US
dc.subject.other	Adaptive control systems	en_US
dc.subject.other	Nonlinear systems	en_US
dc.subject.other	Central nervous system	en_US
dc.title	Engineering and computational modeling of adaptive nonlinear internal models formed by central nervous system : an approach based on adaptive filters and nonlinear system modeling and identification	en_US
dc.type	Thesis	en_US
dcterms.accessRights	open access
dcterms.rightsHolder	Ghous, Asim
dspace.entity.type	Publication	en_US
unsw.accessRights.uri	https://purl.org/coar/access_right/c_abf2
unsw.identifier.doi	https://doi.org/10.26190/unsworks/8340
unsw.relation.faculty	Engineering
unsw.relation.originalPublicationAffiliation	Ghous, Asim, Electrical Engineering and Telecommunications, Faculty of Engineering, UNSW	en_US
unsw.relation.school	School of Electrical Engineering and Telecommunications	*
unsw.thesis.degreetype	PhD Doctorate	en_US

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