Title :
An instrument for the detection of optimal working conditions in stochastic systems
Author :
Andò, Bruno ; Graziani, Salvatore
Author_Institution :
Dipt. di Ingegneria Elettrica, Univ. degli Studi di Catania, Italy
fDate :
6/1/2003 12:00:00 AM
Abstract :
Stochastic resonance (SR) is an active research topic in the area of nonlinear system theory. It has been used to explain the behavior of both natural systems and man-made produced devices. SR conditions are generally investigated by mathematical analysis of complex systems or by realizing nonlinear systems (a typical example being the Schmitt trigger) that are known to be characterized by the presence of SR and performing experimental studies on them. This paper introduces a novel instrument for the detection of SR conditions that does not require any human intervention and, hence, allows independent validation of results concerning SR.
Keywords :
closed loop systems; feedforward; instruments; measurement theory; noise measurement; nonlinear systems; optimisation; stochastic processes; closed-loop system; instrument; mathematical analysis; noise standard deviation values; nonlinear noise-added systems; optimal working conditions detection; stochastic resonance; stochastic systems; Employee welfare; Instruments; Noise level; Nonlinear systems; Signal analysis; Stochastic resonance; Stochastic systems; Strontium; Trigger circuits; Working environment noise;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2003.814692
