EFFECT OF STEP SIZE ON BIFURCATIONS AND CHAOS OF A MAP-BASED BVP OSCILLATOR
被引:3
作者:
Cao, Hongjun
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Jiaotong Univ, Sch Sci, Dept Math, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Sch Sci, Dept Math, Beijing 100044, Peoples R China
Cao, Hongjun
[1
]
Wang, Caixia
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Jiaotong Univ, Sch Sci, Dept Math, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Sch Sci, Dept Math, Beijing 100044, Peoples R China
Wang, Caixia
[1
]
Sanjuan, Miguel A. F.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Rey Juan Carlos, Dept Fis, Nonlinear Dynam Chaos & Complex Syst Grp, Madrid 28933, SpainBeijing Jiaotong Univ, Sch Sci, Dept Math, Beijing 100044, Peoples R China
Sanjuan, Miguel A. F.
[2
]
机构:
[1] Beijing Jiaotong Univ, Sch Sci, Dept Math, Beijing 100044, Peoples R China
[2] Univ Rey Juan Carlos, Dept Fis, Nonlinear Dynam Chaos & Complex Syst Grp, Madrid 28933, Spain
来源:
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
|
2010年
/
20卷
/
06期
关键词:
Step size;
Bonhoeffer-van der Pol oscillators;
bifurcation;
chaos;
map-based BVP model;
NETWORKS;
BURSTS;
MODEL;
D O I:
10.1142/S0218127410026836
中图分类号:
O1 [数学];
学科分类号:
0701 ;
070101 ;
摘要:
The continuous Bonhoeffer-van der Pol (BVP for short) oscillator is transformed into a map-based BVP model by using the forward Euler scheme. At first, the bifurcations and chaos of the map-based BVP model are investigated when the step size varies as a bifurcation parameter. By using the fast-slow decomposition technique, a two-parameter bifurcation diagram is obtained to give insight into the effect of the step size on bifurcations and chaos of the map-based BVP model. The investigation shows that the period-doubling bifurcation is dependent on the step size, while the saddle-node bifurcation is independent of the step size. Second, when the fast-slow decomposition technique cannot be used, we rigorously prove that in the map-based BVP model there exists chaos in the sense of Marotto when the discrete step size varies as a bifurcation parameter. These results show that the discrete step sizes play a vital role between the continuous-time dynamical system and the corresponding discrete dynamical system. Much attention should be paid on the step size when a map-based neuron model is used as an alternative to a continuous neuron model.