Title :
Parameter identification of dynamic nonlinear model based on FLANN
Author :
Cheng, Li ; Kejun, Xu ; Bin, Liang
Author_Institution :
Beijing Inst. of Control Eng., China
Abstract :
Describes a method of parameter identification of a dynamic nonlinear model based on a functional link artificial neural network (FLANN), and solves the problems of rounding error and low estimation accuracy of LMS. The result of modelling a robot´s multi-dimensional wrist force sensor proved the method correct and effective
Keywords :
autoregressive moving average processes; force sensors; least mean squares methods; manipulators; neural nets; nonlinear dynamical systems; parameter estimation; roundoff errors; FLANN; dynamic nonlinear model; functional link artificial neural network; low estimation accuracy; parameter identification; robots multidimensional wrist force sensor; rounding error; Artificial neural networks; Estimation error; Force sensors; Least squares approximation; Parameter estimation; Robot sensing systems; Roundoff errors; Wrist;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862986
