Extended analysis of bpso structure selection of nonlinear auto-regressive model with exogenous inputs ( NARX) of direct current motor

Extended analysis of bpso structure selection of nonlinear auto-regressive model with exogenous inputs ( NARX) of direct current motor

System Identification (SI) is a discipline concerned with inference of mathematical models from dynamic systems based on their input and output measurements. Among the many types of SI models, the superior NARMAX model and its derivatives (NARX and NARMA) are powerful, efficient and unified repres...

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Bibliographic Details
Main Authors: Ihsan Mohd Yassin, Mohd Nasir Taib, Ramli Adnan
Format: Article
Language:English
Published: Prince of Songkla University 2014-12-01
Series:Songklanakarin Journal of Science and Technology (SJST)
Subjects:
nonlinear system identification
nonlinear autoregressive with exogenous inputs model (narx)
structure selection
binary particle swarm optimization algorithm (BPSO)
direct current motor
Online Access:http://rdo.psu.ac.th/sjstweb/journal/36-6/36-6-12.pdf

Internet

http://rdo.psu.ac.th/sjstweb/journal/36-6/36-6-12.pdf

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