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Non-linear system control using a recurrent fuzzy neural network based on improved particle swarm optimisation.
- Source :
-
International Journal of Systems Science . Apr2010, Vol. 41 Issue 4, p381-395. 15p. 2 Color Photographs, 10 Diagrams, 4 Charts, 8 Graphs. - Publication Year :
- 2010
-
Abstract
- This article introduces a recurrent fuzzy neural network based on improved particle swarm optimisation (IPSO) for non-linear system control. An IPSO method which consists of the modified evolutionary direction operator (MEDO) and the Particle Swarm Optimisation (PSO) is proposed in this article. A MEDO combining the evolutionary direction operator and the migration operation is also proposed. The MEDO will improve the global search solution. Experimental results have shown that the proposed IPSO method controls the magnetic levitation system and the planetary train type inverted pendulum system better than the traditional PSO and the genetic algorithm methods. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00207721
- Volume :
- 41
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- International Journal of Systems Science
- Publication Type :
- Academic Journal
- Accession number :
- 49144041
- Full Text :
- https://doi.org/10.1080/00207720903045783