Algrithm for detecting homoclinic orbits of time-continuous dynamical system and its application
Author(s) -
Fangyan Yang,
Hu Ming,
Yao Shang-Ping
Publication year - 2013
Publication title -
acta physica sinica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.62.100501
Subject(s) - homoclinic orbit , lorenz system , homoclinic bifurcation , computer science , dynamical systems theory , nonlinear system , trajectory , dynamical system (definition) , saddle point , key (lock) , bifurcation , point (geometry) , mathematics , saddle , control theory (sociology) , mathematical optimization , chaotic , physics , artificial intelligence , geometry , control (management) , quantum mechanics , computer security , astronomy
Detecting homoclinic orbits is a key problem in nonlinear dynamical systems, especially in the study of bifurcation and chaos. In this paper, we propose a new method to solve the problem with trajectory optimization. By defining a distance between a saddle point and its near trajectories, the problem becomes a common problem in unconstrained nonlinear optimization to minimize the distance. A subdivision algorithm is also proposed in this paper to improve the integrity of results. By applying the algorithm to the Lorenz system, the Shimizu-Morioka system and the hyperchaotic Lorenz system, we successfully find many homoclinic orbits with the corresponding parameters, which suggests that the method is effective.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom