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 |