Title :
Online identification scheme via modified response error method
Author :
Janakiraman, P.A. ; Rangarao, K.V.
Author_Institution :
Indian Inst. of Technol., Madras, India
Abstract :
The authors propose an online identification algorithm based on the response error method. The conventional least squares technique suffers from structural error while the other algorithms have stability problems. A comparison is made between the recursive maximum likelihood method and this method, and the performances are compared. System parameters are identified online without any stability problem from arbitrary initial conditions. The input sequences chosen for the purpose of identification are a rich input such as random binary numbers (RBN) and a square wave which is common in control applications. It can be seen that the accuracy is good in case of RBN input compared to the square wave input
Keywords :
identification; least squares approximations; maximum likelihood estimation; least squares technique; modified response error method; online identification algorithm; performances; random binary numbers; recursive maximum likelihood method; square wave; stability; Finite impulse response filter; Gaussian noise; Hardware; Least squares approximation; Least squares methods; Noise generators; Noise measurement; Polynomials; Regulators; Stability;
Conference_Titel :
Circuits and Systems, 1991., Proceedings of the 34th Midwest Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-0620-1
DOI :
10.1109/MWSCAS.1991.252190
