ANFIS modelling of a twin rotor system using particle swarm optimisation and RLS
Artificial intelligence techniques, such as neural networks and fuzzy logic have shown promising results for modelling of nonlinear systems whilst traditional approaches are rather insufficient due to difficulty in modelling of highly nonlinear components in the system. A laboratory set-up...
Main Authors: | Toha, Siti Fauziah, Tokhi, M. O. |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2010
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/7120/ http://irep.iium.edu.my/7120/ http://irep.iium.edu.my/7120/ http://irep.iium.edu.my/7120/1/05898130.pdf |
Similar Items
-
Inverse model based control for a twin rotor system
by: Toha, Siti Fauziah, et al.
Published: (2010) -
Dynamic nonlinear inverse-model based control of a twin rotor system using adaptive neuro-fuzzy inference system
by: Toha, Siti Fauziah, et al.
Published: (2009) -
A hybrid control scheme for a twin rotor system with multi objective genetic algorithm
by: Toha, Siti Fauziah, et al.
Published: (2010) -
Anfis and neural network techniques for non-paametric modelling of a twin rotor system
by: Toha, Siti Fauziah, et al.
Published: (2010) -
Particle swarm modelling of a flexible beam structure
by: Mohamad, M., et al.
Published: (2009)