具有广泛工程和科学背景的多稳态系统存在着多个共存的吸引子及其相应的吸引域,其不同尺度下的行为会受到共存吸引子的影响而产生复杂的动力学特性,本文旨在探讨共存吸引子下簇发振荡的特性及其产生机制。基于经典的Hartley振子,引入周期外激,当激励频率远小于系统的固有频率时,随着参数的变化,系统呈现出不同簇发振荡模式。将周期激励项视为慢变参数,基于相应的广义自治快子系统的平衡点及其稳定性分析,得到其随慢变参数变化的平衡曲线及其相应的分岔图。发现在不同参数条件下,存在不同类型的多稳态吸引子共存情形。考虑三种典型情形下系统的快慢效应,分析各情形下共存稳态吸引子的特性及吸引域对分岔特性的影响,得到连接沉寂态和激发态的分岔模式,从而揭示相应的簇发振荡机理。指出当轨迹依次穿越不同共存吸引子的吸引域时,各稳定吸引子均会对簇发振荡的结构产生影响,使得簇发振荡变得复杂,而当轨迹仅穿越部分共存吸引子的吸引域时,根据初始条件的不同,会产生共存的簇发振荡。
Abstract
Since there exist coexisted stable attractors with different attracting basins, when the coupling of different scales involves the vector field, complicated dynamical behaviors can be observed in the multi-stable system with wide science and engineering background. The paper aims at the influence of the coexisted stable attractors on property of the bursting oscillations as well as the mechanism in the multi-stable system. Based on a classical Hatley oscillator, by introducing external periodic excitation, when the frequency is far less than the natural frequency, different forms of bursting oscillations can be obtained with the variation of parameters. Regarding the whole exciting term as a slow-varying parameter, we can derive the equilibrium branches and their bifurcations with the variation of slow-varying parameter by the stability analysis of the equilibrium point of the generalized autonomous fast subsystem. It is found that there exist several situations with different coexisted stable attractors. Here we consider three typical cases, where the characteristics of the coexisted attractors and the influence of their attracting basins on the bifurcation is presented. Accordingly, the bifurcations at the transitions between the quiescent states and spiking states are obtained, which can be used to explore the mechanism of the bursting oscillations. It is pointed out that when the trajectory passes across the attracting basins of the coexisted attractors in turn, the associated attractors may affect the structure of the bursting oscillations, which leads to complicated bursting oscillations. However, when the trajectory only passes across the attracting basins of some of the stable attractors, there may exist coexisted bursting attractors, which correspond to different initial conditions.
关键词
不同尺度耦合 /
多稳态 /
簇发振荡 /
共存吸引子 /
吸引域
{{custom_keyword}} /
Key words
coupling of different scales /
multi-stability /
bursting oscillations /
coexisted attractor /
attracting basin
{{custom_keyword}} /
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] Feudel U, Pisarchik AN, Showalter K. Multistability and tipping: From mathematics and physics to climate and brain-Minireview and preface to the focus issue[J]. Chaos,2018,28(3):033501.
[2] Kengen J, Njitacke ZT, Fotsin HB. Dynamical analysis of a simple autonomous jerk system with multiple attractors[J]. Nonlinear Dynamics,2016,83(1-2):751-765.
[3] Dudkowski D, Jafari S, Kapitaniak T, et al. Hidden attractors in dynamical systems[J]. Physics reports-review section of physics letters,2016,637:1-50.
[4] Feudel U. Complex dynamics in multistable systems[J]. International Journal of Bifurcation Chaos, 2008,18(6):1607-1626.
[5] Brzeski P, Perlikowski P. Sample-based methods of analysis for multistable dynamical systems[J]. Archives of computational methods in engineering, 2019,26(5): 1515-1545.
[6] Pisarchik AN, Feudel U. Control of multistability[J]. Physics
Reports, 2014,540(4): 167-218.
[7] Vanag VK, Zhabotinsky AM, Epstein IR. Pattern formation in the Belousov−Zhabotinsky reaction with photochemical global feedback[J]. Journal of Physical Chemistry A, 2000,104(49): 11566-11577.
[8] Aslanov VS, Ledkov AS. Dynamics of tethered satellite systems[M]. Woodhead Publishing. 2012: 225-261.
[9] Lu QS, Yang ZQ, Duan LX, et al. Dynamics and transitions of firing patterns in deterministic and stochastic neuronal systems[J]. Chaos, Solitons Fractals, 2009,40(2): 577-597.
[10] Bi QS, Ma R, Zhang ZD. Bifurcation mechanism of the bursting oscillations in periodically excited dynamical system with two time scales[J]. Nonlinear Dynamics, 2015,79(1): 101-110.
[11] Endo T. Mori S. Mode analysis of a ring of a large number of mutually coupled Van der Pol oscillators[J]. IEEE Transactions on Circuits and Systems, 1978,25(1):7-18.
[12] Fenichel N. Geometric singular perturbation theory for ordinary differential equations[J]. Journal of Differential Equations,1979 , 31:53-98.
[13] Rinzel J. Bursting oscillations in an excitable membrane model[C]//Sleeman BD, Jarvis RJ. Ordinary and Partial Differential Equations. Berlin: Springer-Verlag , 1985: 304-316.
[14] Izhikevich EM. Neural excitability, spiking and bursting[J]. International Journal of Bifurcation Chaos, 2000,10(6): 1171-1266.
[15] Izhikevich EM. Which model to use for cortical spiking neurons?[J]. IEEE Transactions on Neural Networks, 2004, 15(5):1063-1070.
[16] 张晓芳, 陈章耀, 毕勤胜. 周期激励下Chen系统的簇发现象分析[J]. 物理学报, 2010,59(06): 3802-3809.
Zhang Xiaofang, Chen Zhangyao, Bi Qinsheng. Analysis of bursting phenomena in Chen’s system with periodic excitation[J]. Acta Physica Sinica. 2010,59(6):3802-3809(in Chinese).
[17] Han XJ, Zhang Y, Bi QS, et al. Two novel bursting patterns in the Duffing system with multiple-frequency slow parametric excitations[J]. Chaos, 2018,28,:043111.
[18] Ma XD, Jiang WA, Yu Y. Periodic bursting behaviors induced by pulse-shaped explosion or non-pulse-shaped explosion in a van der Pol-Mathieu oscillator with external excitation[J]. Communications in Nonlinear Science and Numerical Simulation, 2021,103:105959.
[19] Zhang YT, Cao QJ, Huang WH. Bursting oscillations in an isolation system with quasi-zero stiffness[J]. Mechanical systems and signal processing, 2021,161:107916.
[20] Leutcho GD, Kengne J, Kengne LK, et al. A novel chaotic hyperjerk circuit with bubbles of bifurcation: mixed-mode bursting oscillations, multistability, and circuit realization[J]. Physica Scripta, 2020,95(7):075216.
[21] 陈章耀, 毕勤胜. 非线性电路的簇发现象及分岔机制[J].控制理论与应用, 2011, 28(10): 1413-1420.
Chen Zhangyao, Bi Qinsheng. Bursting phenomena as well as bifurcation mechanism in nonlinear circuit[J]. Control Theory and Applications. 2011, 28(10): 1413-1420(in Chinese).
[22] Zhang ZD, Chen ZY, Bi QS. Modified slow-fast analysis method for slow-fast dynamical systems with two scales in frequency domain[J]. Theoretical Applied Mechanics Letters, 2019, 9(06): 358-36.
{{custom_fnGroup.title_cn}}
脚注
{{custom_fn.content}}