TY - JOUR
JF - mdrsjrns
JO - Modares Mechanical Engineering
VL - 15
IS - 5
PY - 2015
Y1 - 2015/7/01
TI - Piecewise Affine Hybrid System Identification Using Adaline Neural Network
TT - شناسایی سیستمهای هایبرید آفین تکهای خطی با استفاده از شبکه عصبی آدلاین
N2 - Hybrid systems are a group of dynamical system which their behavior described by the interaction of discrete and continuous dynamical system behaviors. One of the subsets of hybrid systems, is piecewise affine system. Piecewise affine system identification, consists of estimating the parameters of each subsystem and the coefficients of the state-input boundary hyperplanes. In order to clustering the state-input space and estimating the feature matrixes simultaneously, bounded error algorithm and adaline neural network are used. It should be said that in this method, there is no need to know the number of linear subsystems of the piecewise affine system. Moreover, it should be noted that the identification method is extended based on on-line data acquisition from system. In continuation, this method is used to identify a benchmark mathematical piecewise affine system. By comparing the results with the reference paper, it is proven that this method has a good performance in clustering the state-input space and estimating the feature matrixes. In the end, by using the proposed method, an active water tank which its equations are described by the form of a piecewise affine system is identified.
SP - 397
EP - 404
AU - Khanmirza, Esmaeil
AU - Mousavi, Alireza
AU - Nazarahari, Milad
AD -
KW - Hybrid Systems
KW - Piecewise Affine System
KW - System Identification
KW - Bounded Error Algorithm
KW - Adaline Neural Network
UR - http://mme.modares.ac.ir/article-15-7905-en.html
ER -