Nonlinear auto-regressive model structure selection using binary particle swarm optimization algorithm / Ahmad Ihsan Mohd Yassin
System Identification (SI) is a control engineering discipline concerned with the discovery of mathematical models based on dynamic measurements collected from the system. It is an important discipline in the construction and design of controllers, as SI can be used for understanding the properties...
Main Author: | Mohd Yassin, Ahmad Ihsan |
---|---|
Format: | Book Section |
Language: | English |
Published: |
Institute of Graduate Studies, UiTM
2014
|
Subjects: | |
Online Access: | http://ir.uitm.edu.my/id/eprint/19441/ http://ir.uitm.edu.my/id/eprint/19441/1/ABS_AHMAD%20IHSAN%20MOHD%20YASSIN%20TDRA%20VOL%206%20IGS_14.pdf |
Similar Items
-
Nonlinear auto-regressive model structure selection using binary particle swarm optimization algorithm / Ahmad Ihsan Mohd Yassin
by: Mohd Yassin, Ahmad Ihsan
Published: (2014) -
Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms
by: Azrag, M. A. K., et al.
Published: (2019) -
An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes
by: Mohd Saberi, Mohamad, et al.
Published: (2013) -
Improved particle swarm optimization by fast annealing algorithm
by: Bashath, Samar, et al.
Published: (2019) -
Asynchronous particle swarm optimization for swarm robotics
by: Nor Azlina, Ab. Aziz, et al.
Published: (2012)