Back to Search
Start Over
Parameter estimation for chaotic systems with a Drift Particle Swarm Optimization method
- Source :
-
Physics Letters A . Jun2010, Vol. 374 Issue 28, p2816-2822. 7p. - Publication Year :
- 2010
-
Abstract
- Abstract: Inspired by the motion of electrons in metal conductors in an electric field, we propose a variant of Particle Swarm Optimization (PSO), called Drift Particle Swarm Optimization (DPSO) algorithm, and apply it in estimating the unknown parameters of chaotic dynamic systems. The principle and procedure of DPSO are presented, and the algorithm is used to identify Lorenz system and Chen system. The experiment results show that for the given parameter configurations, DPSO can identify the parameters of the systems accurately and effectively, and it may be a promising tool for chaotic system identification as well as other numerical optimization problems in physics. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 03759601
- Volume :
- 374
- Issue :
- 28
- Database :
- Academic Search Index
- Journal :
- Physics Letters A
- Publication Type :
- Academic Journal
- Accession number :
- 51147763
- Full Text :
- https://doi.org/10.1016/j.physleta.2010.04.071