An optimal nonlinear system identifier based on quasilinearization

Hanna, Victor L.

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dc.contributor.author	Hanna, Victor L.
dc.contributor.other	Youngstown State University, degree granting institution.
dc.contributor.other	Youngstown State University. Rayen School of Engineering.
dc.date.accessioned	2020-08-14T15:20:33Z
dc.date.available	2020-08-14T15:20:33Z
dc.date.issued	1974
dc.identifier.other	911188038
dc.identifier.other	b1674752
dc.identifier.uri	https://jupiter.ysu.edu/record=b1674752
dc.identifier.uri	http://hdl.handle.net/1989/15696
dc.description	vi, 34 leaves : illustrations ; 29 cm Thesis M.S. Youngstown State University 1974. Includes bibliographical references (leaves 33-34).	en_US
dc.description.abstract	Identification techniques which use quasilinearization as a basis are among the fastest converging, however, they often suffer from having a narrow region of convergence when applied to nonlinear systems. An identification process, based on quasilinearization, will be presented which has a larger region of convergence than other, similar methods. This identification process will be demonstrated and compared with similar methods in an example using the Van der Pol equation.	en_US
dc.description.sponsorship	Youngstown State University. Rayen School of Engineering.	en_US
dc.language.iso	en_US	en_US
dc.publisher	[Youngstown, Ohio] : Youngstown State University, 1974.	en_US
dc.relation.ispartofseries	Master's Theses;no. 0072
dc.subject	Engineering mathematics.	en_US
dc.subject	Dynamics.	en_US
dc.subject	Nonlinear systems.	en_US
dc.title	An optimal nonlinear system identifier based on quasilinearization	en_US
dc.type	Other	en_US

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