|
|
Chaos suppression of uncertain gyros in a given finite time |
Mohammad Pourmahmood Aghababaa, Hasan Pourmahmood Aghababab c |
a Electrical Engineering Department, Urmia University of Technology, Urmia, Iran; b Department of Mathematics, University of Tabriz, Tabriz, Iran; c Research Center for Industrial Mathematics of University of Tabriz, Tabriz, Iran |
|
|
Abstract The gyro is one of the most interesting and everlasting nonlinear dynamical systems, which displays very rich and complex dynamics, such as sub-harmonic and chaotic behaviors. We study the chaos suppression of the chaotic gyros in a given finite time. Considering the effects of model uncertainties, external disturbances, and fully unknown parameters, we design a robust adaptive finite-time controller to suppress the chaotic vibration of the uncertain gyro as quickly as possible. Using the finite-time control technique, we given the exact value of the chaos suppression time. A mathematical theorem is presented to prove the finite-time stability of the proposed scheme. The numerical simulation shows the efficiency and usefulness of the proposed finite-time chaos suppression strategy.
|
Received: 24 April 2012
Revised: 14 June 2012
Accepted manuscript online:
|
PACS:
|
05.45.-a
|
(Nonlinear dynamics and chaos)
|
|
05.45.Xt
|
(Synchronization; coupled oscillators)
|
|
05.45.Gg
|
(Control of chaos, applications of chaos)
|
|
05.45.Pq
|
(Numerical simulations of chaotic systems)
|
|
Corresponding Authors:
Mohammad Pourmahmood Aghababa
E-mail: m.p.aghababa@ee.uut.ac.ir
|
Cite this article:
Mohammad Pourmahmood Aghababa, Hasan Pourmahmood Aghababa Chaos suppression of uncertain gyros in a given finite time 2012 Chin. Phys. B 21 110505
|
[1] |
Ott E, Grebogi C and Yorke J A 1990 Phys. Rev. Lett. 65 3215
|
[2] |
Aghababa M P 2011 Nonlinear Dyn. 69 247
|
[3] |
Lü L, Li G, Guo L, Meng L, Zou J R and Yang M 2010 Chin. Phys. B 19 080507
|
[4] |
Liu Y Z, Jiang C S, Lin C S and Jiang Y M 2007 Chin. Phys. B 16 660
|
[5] |
Aghababa M P 2011 Chin. Phys. B 20 090505
|
[6] |
Hu J and Zhang Q J 2008 Chin. Phys. B 17 503
|
[7] |
Aghababa M P 2012 Chin. Phys. B 21 030502
|
[8] |
Bowong S 2007 Nonlinear Dyn. 49 59
|
[9] |
Chen H K 2002 J. Sound Vibr. 255 719
|
[10] |
Dooren R V 2008 J. Sound Vibr. 268 632
|
[11] |
Tong X and Mrad N 2001 J. Appl. Mech. 68 681
|
[12] |
Leipnik R B and NewtoT A 1981 Phys. Lett. A 86 63
|
[13] |
Polo M F P and Molina M P 2007 Nonlinear Dyn. 48 129
|
[14] |
Lei Y, Xu W and Zheng H 2005 Phys. Lett. A 343 153
|
[15] |
Hung M, Yan J and Liao T 2008 Chaos Soliton. Fract. 35 181
|
[16] |
Yau H 2007 Chaos Soliton. Fract. 34 1357
|
[17] |
Yau H 2008 Mech. Syst. Signal Process. 22 408
|
[18] |
Yan J, Hung M, Lin J and Liao T 2007 Mech. Syst. Signal Process. 21 2515
|
[19] |
Wang H, Han Z, Xie Q and Zhang W 2009 Commun. Nonlinear Sci. Numer. Simulat. 14 2728
|
[20] |
Edwards C, Spurgeon S K and Patton R J 2000 Automatica 36 541
|
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
|
|
|