Title :
Predictive neural networks control in the high accuracy DC voltage reference source
Author :
I. Nancovska;D. Hudoklin;D. Fefer;A. Jeglic
Author_Institution :
Lab. of Control & Meas., Ljubljana Univ., Slovenia
Abstract :
In the paper we compare the predictive abilities of several types of neural networks in order to use them for voltage correction in a high precision solid state DC voltage reference source (DCVRS). The observed time series are characterised as outputs of nonlinear dynamical system. Networks are trained until the correlation dimension and the leading Lyapunov exponent of the predicted signals reaches the values of the same invariant measures of the observed system.
Keywords :
"Neural networks","Voltage control","Intelligent networks","Predictive models","Laboratories","Finite impulse response filter","Feedback loop","Particle measurements","Stability","Process control"
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1998. IMTC/98. Conference Proceedings. IEEE
Print_ISBN :
0-7803-4797-8
DOI :
10.1109/IMTC.1998.679789