dc.contributor.author |
Wang, Ran |
|
dc.contributor.author |
Li, Chunbiao |
|
dc.contributor.author |
Çiçek, Serdar |
|
dc.contributor.author |
Rajagopal, Karthikeyan |
|
dc.contributor.author |
Zhang, Xin |
|
dc.date.accessioned |
2021-04-20T14:53:59Z |
|
dc.date.available |
2021-04-20T14:53:59Z |
|
dc.date.issued |
2021 |
|
dc.identifier.citation |
R. Wang, C. Li, S. ÇİÇEK, K. Rajagopal, and X. Zhang, “A Memristive Hyperjerk Chaotic System Amplitude Control FPGA Design and Prediction with Artificial Neural Network,” Complexity, vol. 2021, pp. 0–0, Feb. 2021. |
tr_TR |
dc.identifier.uri |
https://www.hindawi.com/journals/complexity/2021/6636813/ |
|
dc.identifier.uri |
http://hdl.handle.net/20.500.11787/1305 |
|
dc.description.abstract |
An amplitude controllable hyperjerk system is constructed for chaos producing by introducing a nonlinear factor of memristor. In this case, the amplitude control is realized from a single coefficient in the memristor. The hyperjerk system has a line of equilibria and also shows extreme multistability indicated by the initial value-associated bifurcation diagram. FPGA-based circuit realization is also given for physical verification. Finally, the proposed memristive hyperjerk system is successfully predicted with artificial neural networks for AI based engineering applications. |
tr_TR |
dc.language.iso |
eng |
tr_TR |
dc.publisher |
Hindawi |
tr_TR |
dc.relation.isversionof |
10.1155/2021/6636813 |
tr_TR |
dc.rights |
info:eu-repo/semantics/openAccess |
tr_TR |
dc.subject |
Memristive |
tr_TR |
dc.subject |
Hyperjerk Chaotic System |
tr_TR |
dc.subject |
FPGA |
tr_TR |
dc.subject |
Artificial Neural Network |
tr_TR |
dc.title |
A Memristive Hyperjerk Chaotic System: Amplitude Control, FPGA Design, and Prediction with Artificial Neural Network |
tr_TR |
dc.type |
article |
tr_TR |
dc.relation.journal |
Complexity |
tr_TR |
dc.contributor.department |
Nevşehir Hacıbektaş Veli Üniversitesi, Hacıbektaş Meslek Yüksekokulu, Elektronik ve Otomasyon Bölümü |
tr_TR |
dc.contributor.authorID |
33672 |
tr_TR |
dc.identifier.volume |
2021 |
tr_TR |
dc.identifier.startpage |
6636813 |
tr_TR |