|
|
Memristor oscillator based on twin-T network |
Li Zhi-Jun (李志军)a b, Zeng Yi-Cheng (曾以成)a |
a College of Information Engineering,Xiangtan University, Xiangtan 411105, China; b Department of Optoelectronic Engineering,Xiangtan University, Xiangtan 411105, China |
|
|
Abstract A novel inductance-free nonlinear oscillator circuit with a single bifurcation parameter is presented in this paper. This circuit is composed of a twin-T oscillator, a passive RC network, and a flux-controlled memristor. With the increase of control parameter, the circuit exhibits complicated chaotic behaviors from double periodicity. The dynamic properties of the circuit are demonstrated by means of equilibrium stability, Lyapunov exponent spectrum, and bifurcation diagram. In order to confirm the occurrence of chaotic behavior in the circuit, an analog realization of the piecewise-linear flux controlled memristor is proposed and Pspice simulation is conducted on the resulting circuit.
|
Received: 20 August 2012
Revised: 21 September 2012
Accepted manuscript online:
|
PACS:
|
05.45.-a
|
(Nonlinear dynamics and chaos)
|
|
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 60972147 and 61176032). |
Corresponding Authors:
Li Zhi-Jun
E-mail: lizhijun@xtu.edu.cn
|
Cite this article:
Li Zhi-Jun (李志军), Zeng Yi-Cheng (曾以成) Memristor oscillator based on twin-T network 2013 Chin. Phys. B 22 040502
|
[1] |
Chua L O 1971 IEEE Trans. Circ. Theory CT-18 507
|
[2] |
Chua L O and Kang S M 1976 Proc. IEEE 64 209
|
[3] |
Strukov D B, Snider G S, Stewart D R and Williams R S 2008 Nature 453 80
|
[4] |
Kavehei By O, Iqbal A, Kim Y S, Eshraghian K, Al-Sarawi S F and Abbott D 2010 Proc. R. Soc. A 466 2175
|
[5] |
Pershin Y V, La Fontaine S and Di Ventra M 2009 Phys. Rev. E 80 021926
|
[6] |
Borghetti J, Snider G S, Kuekes P J, Yang J J, Stewart D R and Williams R S 2010 Nature 464 873
|
[7] |
Borghetti J, Li Z, Straznicky J, Li X, Ohlberg D A A, Wu W, Stewart D R and Williams R S 2009 Proc. Nat. Ac. Sci. 106 1699
|
[8] |
Pershin Y V and Ventra M D 2010 Neural Networks 23 881
|
[9] |
Jo S H, Chang T, Ebong I, Bhadviya B B, Mazumder P and Lu W 2010 Nano Lett. 10 1297
|
[10] |
Driscoll T, Quinn J, Klein S, Kim H T, Kim B J, Pershin Y V, Ventra M Di and Basov D N 2010 Appl. Phys. Lett. 97 093502
|
[11] |
Itoh M and Chua L O 2008 Int. J. Bifur. Chaos 18 3183
|
[12] |
Muthuswamy B and Kokate P P 2009 IETE Tech. Rev. 26 415
|
[13] |
Bao B C, Liu Z and Xu J P 2010 Acta Phys. Sin. 59 3785 (in Chinese)
|
[14] |
Muthuswamy B 2010 Int. J. Bifur. Chaos 20 1335
|
[15] |
Bao B C, Hu W, Xu J P and Liu Z 2011 Acta Phys. Sin. 60 12052 (in Chinese)
|
[16] |
Liu Z, Bao B C and Xu J P 2010 Chin. Phys. B 19 030510
|
[17] |
Yu S M and Yu Z D 2008 Acta Phys. Sin. 57 6859 (in Chinese)
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|