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An inductor-free realization of the Chua`s circuit based on electronic analogy
(SPRINGER, 2009)
Although literature presents several alternatives, an approach based on the electronic analogy was still not considered for the implementation of an inductor-free realization of the double scroll Chua`s circuit. This paper ...
Experimental characterization of nonlinear systems: a real-time evaluation of the analogous Chua`s circuit behavior
(SPRINGER, 2010)
This paper presents an experimental characterization of the behavior of an analogous version of the Chua`s circuit. The electronic circuit signals are captured using a data acquisition board (DAQ) and processed using LabVIEW ...
Analog circuit design and optimal synchronization of a modified Rayleigh system
(2016-07-01)
This paper addresses the problem of optimization of the synchronization of a chaotic modified Rayleigh system. We first introduce a four-dimensional autonomous chaotic system which is obtained by the modification of a ...
Methodology analysis of a computational tool used in electronic circuit design
(2011-08-25)
This paper considers the importance of using a top-down methodology and suitable CAD tools in the development of electronic circuits. The paper presents an evaluation of the methodology used in a computational tool created ...
Methodology analysis of a computational tool used in electronic circuit design
(2011-08-25)
This paper considers the importance of using a top-down methodology and suitable CAD tools in the development of electronic circuits. The paper presents an evaluation of the methodology used in a computational tool created ...
Hardware implementation of an analog neural nonderivative optimizer
(Springer, 2006-01-01)
Analog neural systems that can automatically find the minimum value of the outputs of unknown analog systems, described by convex functions, are studied. When information about derivative or gradient are not used, these ...
Hardware implementation of an analog neural nonderivative optimizer
(Springer, 2006-01-01)
Analog neural systems that can automatically find the minimum value of the outputs of unknown analog systems, described by convex functions, are studied. When information about derivative or gradient are not used, these ...