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Controlling chaos to unstable periodic orbits and equilibrium state solutions for the coupled dynamos system |
Wu Shu-Hua(吴淑花)a)b)†, Hao Jian-Hong(郝建红) a), and Xu Hai-Bo(许海波)c) |
a School of Electric and Electronic Engineering, North China Electric Power University, Beijing 102206, China; b Department of Physics and Electrical Information Engineering, Shijiazhuang Normal College, Shijiazhuang 050035, China; c Institute of Applied Physics and Computational Mathematics, Beijing 100088, China |
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Abstract In the case where the knowledge of goal states is not known, the controllers are constructed to stabilize unstable steady states for a coupled dynamos system. A delayed feedback control technique is used to suppress chaos to unstable focuses and unstable periodic orbits. To overcome the topological limitation that the saddle-type steady state cannot be stabilized, an adaptive control based on LaSalle's invariance principle is used to control chaos to unstable equilibrium (i.e. saddle point, focus, node, etc.). The control technique does not require any computer analysis of the system dynamics, and it operates without needing to know any explicit knowledge of the desired steady-state position.
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Received: 03 June 2009
Revised: 28 July 2009
Accepted manuscript online:
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PACS:
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05.45.Gg
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(Control of chaos, applications of chaos)
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Fund: Project supported by the Doctoral
Foundation of North China Electric Power University (Grant
No.~kH0433) and the International Science and Technology Cooperation
Program (Grant No.~2007DFA71250). |
Cite this article:
Wu Shu-Hua(吴淑花), Hao Jian-Hong(郝建红), and Xu Hai-Bo(许海波) Controlling chaos to unstable periodic orbits and equilibrium state solutions for the coupled dynamos system 2010 Chin. Phys. B 19 020509
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[1] |
Ott E, Grebogi C and Yorke J A 1990 Phys. Rev. Lett. 64 1196
|
[2] |
Braiman Y and Goldhirsch I 1991 Phys. Rev. Lett. 66 2545
|
[3] |
Rajasekar S 1995 Phys. Rev. E 51 775
|
[4] |
Ramesh M 1999 Chaos, Solitons & Fractals 10 1473
|
[5] |
Liu Z H and Chen S G 1997 Phys. Rev. E 56 168
|
[6] |
Liu Z H and Chen S G 1997 Phys. Lett. A 232 55
|
[7] |
Wang X Y and Wu X J 2006 Acta Phys. Sin. 55 5083 (in Chinese)
|
[8] |
Agiza H N 2002 Chaos, Solitons & Fractals 1 3 341
|
[9] |
Agiza H N 2004 Int. J. Mod. Phys. C 15 873
|
[10] |
Wang X Y 2003 Chaos in the Complex Nonlinearity System (Beijing: Electronics Industry Press) Chapt. 2 (inChinese)
|
[11] |
Pyragas K 1992 Phys. Lett. A 1 70 421
|
[12] |
Hu G, Xiao J H and Zheng Z G 2000 Chaos Control} (Shanghai: Shanghai Scientific andTechonological Education Publishing House) p. 34
|
[13] |
Just W, Bernard T, Ostheimer M, Reibold E and Benner H 1997 Phys. Rev. Lett. 78 203
|
[14] |
Nakajima H 1997 Phys. Lett. A 232 207
|
[15] |
Huang D B 2006 Phys. Rev. E 7 3 066204
|
[16] |
Pyragas K, Pyrags V, Kiss I Z and Hudson J L 2004 Phys. Rev. E 70 026215
|
[17] |
Braun D J 2008 Phys. Rev. E 78 016213
|
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