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A fuzzy crisis in a Duffing-van der Pol system |
Hong Ling(洪灵)† |
MOE Key Lab for Strength and Vibration, Xi'an Jiaotong University, Xi'an 710049, China |
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Abstract A crisis in a Duffing--van del Pol system with fuzzy uncertainties is studied by means of the fuzzy generalised cell mapping (FGCM) method. A crisis happens when two fuzzy attractors collide simultaneously with a fuzzy saddle on the basin boundary as the intensity of fuzzy noise reaches a critical point. The two fuzzy attractors merge discontinuously to form one large fuzzy attractor after a crisis. A fuzzy attractor is characterized by its global topology and membership function. A fuzzy saddle with a complicated pattern of several disjoint segments is observed in phase space. It leads to a discontinuous merging crisis of fuzzy attractors. We illustrate this crisis event by considering a fixed point under additive and multiplicative fuzzy noise. Such a crisis is fuzzy noise-induced effects which cannot be seen in deterministic systems.
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Received: 17 June 2009
Revised: 22 August 2009
Accepted manuscript online:
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PACS:
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05.40.Ca
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(Noise)
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05.45.-a
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(Nonlinear dynamics and chaos)
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02.10.Ab
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(Logic and set theory)
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Fund: Project supported by the National
Natural Science Foundation of China (Grant Nos.~10772140 and 10872155). |
Cite this article:
Hong Ling(洪灵) A fuzzy crisis in a Duffing-van der Pol system 2010 Chin. Phys. B 19 030513
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[1] |
Moss F and McClintock P V E 1989 Noise in Nonlinear DynamicalSystems (Cambridge: Cambridge University Press)
|
[2] |
Klir G J and Folger T A 1988 Fuzzy Sets, Uncertainty, andInformation (New Jersey: Prentice-Hall, Englewood Cliffs)
|
[3] |
Bucolo M, Fazzino S, Rosa M L and Fortuna L 2003 Chaos,Solitons and Fractals 17 557
|
[4] |
Sandler U and Tsitolovsky L 2001 Fuzzy Sets and Systems 121 237
|
[5] |
Grebogi C, Ott E and York J A 1982 Phys. Rev. Lett.48 1507
|
[6] |
Ott E 2002 Chaos in Dynamical Systems (Cambridge: Cambridge UniversityPress)
|
[7] |
Xu P M and Wen B C 2004 Chin. Phys. 13 618
|
[8] |
Zou H L, Xu J X and Jiang J 2008 Chin. Phys. B 17117
|
[9] |
Meunier C and Verga A D 1988 J. Stat. Phys.50 345
|
[10] |
Doi S, Inoue J and Kumagai S 1988 J. Stat.Phys. 90 1107
|
[11] |
Xu W, He Q, Rong H W and Fang T 2003 Acta Phys. Sin.52 1365 (in Chinese)
|
[12] |
He Q, Xu W, Li S A and Xiao Y Z 2008 Acta Phys. Sin.57 4021 (in Chinese)
|
[13] |
He Q, Xu W, Li S A and Xiao Y Z 2008 Acta Phys. Sin.57 743 (in Chinese)
|
[14] |
Tomonaga Y and Takatsuka K 1998 Physica D 111 51
|
[15] |
Cuesta F, Ponce E and Aracil J 2001 IEEE Trans. on FuzzySystems 9 355
|
[16] |
Satpathy P K, Das D and Gupta P B D 2004 Int. J.Electrical Power and Energy System 26 531
|
[17] |
Hong L and Sun J Q 2006 Communications in Nonlinear Scienceand Numerical Simulation 11 1
|
[18] |
Hong L and Sun J Q 2006 Physica D 213 181
|
[19] |
Hsu C S 1987 Cell-to-Cell Mapping: A Method of Global Analysisfor Non-linear Systems (New York: Springer-Verlag)
|
[20] |
Yoshida Y 2000 Fuzzy Sets and Systems 113 453
|
[21] |
Friedman Y and Sandler U 1996 Fuzzy Sets and Systems 84 61
|
[22] |
Friedman Y and Sandler U 1999 Fuzzy Sets and Systems 106 61
|
[23] |
Risken H 1996 The Fokker-Planck Equation (New York:Springer-Verlag)
|
[24] |
Hsu C S 1995 Int. J. Bifurc. and Chaos 5 1085
|
[25] |
Guckenheimer J and Holmes P J 1983 Nonlinear Oscillations,Dynamical Systems and Bifurcations of Vector Fields (New York:Springer-Verlag)
|
[26] |
Holmes P and Rand D 1980 Int. J. Non-LinearMechanics 15 449-458
|
[27] |
Namachchivaya N S 1990 J. Appl. Math. andComput. 38 101
|
[28] |
Schenk-Hoppe K R 1996 Nonlinear Dynamics 11 255
|
[29] |
Namachchivaya N S 1991 J. Appl. Mech. 58 259
|
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