Twenty Hopf-like bifurcations in piecewise-smooth dynamical systems

被引:17
|
作者
Simpson, D. J. W. [1 ]
机构
[1] Massey Univ, Sch Fundamental Sci, Palmerston North, New Zealand
来源
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS | 2022年 / 970卷
关键词
Hopf bifurcation; Piecewise-linear; Limit cycle; Filippov system; Boundary equilibrium bifurcation; BOUNDARY EQUILIBRIUM BIFURCATIONS; LINEAR DIFFERENTIAL-SYSTEMS; PREDATOR-PREY MODEL; LIMIT-CYCLE BIFURCATION; PLANAR FILIPPOV SYSTEMS; SLIDING BIFURCATIONS; GRAZING BIFURCATIONS; STABILITY ANALYSIS; PERIODIC-ORBITS; VECTOR-FIELDS;
D O I
10.1016/j.physrep.2022.04.007
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
For many physical systems the transition from a stationary solution to sustained small amplitude oscillations corresponds to a Hopf bifurcation. For systems involving impacts, thresholds, switches, or other abrupt events, however, this transition can be achieved in fundamentally different ways. This paper reviews 20 such 'Hopf-like' bifurcations for two-dimensional ODE systems with state-dependent switching rules. The bifurcations include boundary equilibrium bifurcations, the collision or change of stability of equilibria or folds on switching manifolds, and limit cycle creation via hysteresis or time delay. In each case a stationary solution changes stability and possibly form, and emits one limit cycle. Each bifurcation is analysed quantitatively in a general setting: we identify quantities that govern the onset, criticality, and genericity of the bifurcation, and determine scaling laws for the period and amplitude of the resulting limit cycle. Complete derivations based on asymptotic expansions of Poincare maps are provided. Many of these are new, done previously only for piecewise-linear systems. The bifurcations are collated and compared so that dynamical observations can be matched to geometric mechanisms responsible for the creation of a limit cycle. The results are illustrated with impact oscillators, relay control, automated balancing control, predator-prey systems, ocean circulation, and the McKean and Wilson-Cowan neuron models.
引用
收藏
页码:1 / 80
页数:80
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