Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
ISSN-L : 1342-5668
Special Issue Paper
Derivation of Local Bifurcation Points in Autonomous Systems by Using Particle Swarm Optimization
Tomoki GotohHiroaki KurokawaHaruna MatsushitaTakuji Kousaka
Author information
JOURNAL FREE ACCESS

2023 Volume 36 Issue 5 Pages 121-129

Details
Abstract

This study extends the particle swarm optimization (PSO)-based bifurcation points derivation method to the autonomous systems. PSO avoids the need to carefully set the initial parameters of the dynamical system or to differentiate the objective function. In addition, it can derive the bifurcation points quickly and accurately, and its efficacy has previously been demonstrated for discrete dynamical systems and non-autonomous systems but not for autonomous systems. This paper proposes an extended PSO-based method for autonomous systems by incorporating the computation of a Poincaré map and a bisection method in the algorithm. To validate the effectiveness of the proposed method, it was applied to deriving the local bifurcation points of a three-dimensional autonomous system to confirm and demonstrate its effectiveness.

Content from these authors
© 2023 The Institute of Systems, Control and Information Engineers
Next article
feedback
Top