Title :
Using analog neutral networks for control sensor linearization
Author :
Dempsey, G.L. ; Alig, J.S. ; Redfield, D.E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Bradley Univ., Peoria, IL, USA
Abstract :
The issues of cost, size, and weight of neural controllers have received minimal attention by neural and control researchers. In this paper, we discuss methods to improve the characteristics of control sensors using compact and low-cost analog circuitry. Our objective is to extend the linear region of operation of a nonlinear sensor using artificial neural networks. Our method is applied to the design of a discrete-component phase-locked loop
Keywords :
analogue processing circuits; feedforward neural nets; linearisation techniques; phase locked loops; sensors; analog neutral networks; artificial neural networks; control sensor linearization; discrete-component PLL; low-cost analog circuitry; neural controllers; nonlinear sensor; phase-locked loop; Artificial neural networks; Circuits; Costs; Function approximation; Hardware; Neural networks; Neurons; Operational amplifiers; Phase locked loops; Sensor phenomena and characterization; Size control; Weight control;
Conference_Titel :
Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on
Conference_Location :
Rio de Janeiro
Print_ISBN :
0-7803-2972-4
DOI :
10.1109/MWSCAS.1995.504381
