Title :
How state controlled CNN cells generate the dynamics of the Colpitts-like oscillator
Author :
Arena, Paolo ; Baglio, Salvatore ; Fortuna, Luigi ; Manganaro, Gabriele
Author_Institution :
Dipartimento Elettrico, Elettronica e Sistemistico, Catania Univ., Italy
fDate :
7/1/1996 12:00:00 AM
Abstract :
The authors prove that the dynamics of the Colpitts-like oscillator can be generated by connecting three state controlled CNN cells. They further remark that the complex behavior of the Colpitts system can be obtained by using a CNN based circuit. The circuit implementation of the proposed cell-based system is presented. Both simulated and experimental results are reported
Keywords :
cellular neural nets; chaos; nonlinear network analysis; oscillators; piecewise-linear techniques; Colpitts-like oscillator; cellular neural network; nonlinear dynamic generation; oscillator dynamics generation; piecewise-linear circuit state model; state controlled CNN cell; Analytical models; Cellular neural networks; Chaos; Circuit analysis; Circuit simulation; Control systems; Joining processes; Nonlinear circuits; Nonlinear control systems; Oscillators;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
