Title :
On-line linear system parameter estimation using the neo-fuzzy-neuron algorithm
Author :
Bacelar, A.S. ; de Souza Filho, E.B. ; Neves, F.A.S. ; Landim, R.P.
Author_Institution :
Univ. Fed. de Pernambuco, Recife
Abstract :
A method for estimating the parameters of a single input single output (SISO) model is proposed and discussed. The new method is based on the neo-fuzzy-neuron algorithm and has the property of fast convergence, which makes it suitable for online estimation. In order to evaluate the estimator effectiveness, it was applied to obtain the parameters of a second-order filter. Simulation and experimental results are presented
Keywords :
discrete time filters; fuzzy neural nets; linear systems; parameter estimation; convergence; neo-fuzzy-neuron algorithm; neural networks; online linear system parameter estimation; second-order filter; single input single output model; Control systems; Convergence; Electronic mail; Filters; Fuzzy logic; Fuzzy sets; Linear systems; Neural networks; Parameter estimation; Temperature dependence;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2003. Proceedings of the Second IEEE International Workshop on
Conference_Location :
Lviv
Print_ISBN :
0-7803-8138-6
DOI :
10.1109/IDAACS.2003.1249529
