Title :
Predicting period-doubling bifurcations and multiple oscillations in nonlinear time-delayed feedback systems
Author :
Berns, Daniel W. ; Moiola, Jorge L. ; Chen, Guanrong
Author_Institution :
Dept. de Electron., Univ. Nacional de la Patagonia, Comodoro Rivadavia, Argentina
fDate :
7/1/1998 12:00:00 AM
Abstract :
In this work, a graphical approach is developed from an engineering frequency-domain approach enabling prediction of period-doubling bifurcations (PDB´s) starting from a small neighborhood of Hopf bifurcation points useful for analysis of multiple oscillations of periodic solutions for time-delayed feedback systems. The proposed algorithm employs higher order harmonic-balance approximations (HBA´s) for the predicted periodic solutions of the time-delayed systems. As compared to the same study of feedback systems without time delays, the HBA´s used in the new algorithm include only some simple modifications. Two examples are used to verify the graphical algorithm for prediction: one is the well-known time-delayed Chua´s circuit (TDCC) and the other is a time-delayed neural-network model
Keywords :
Chua´s circuit; approximation theory; bifurcation; circuit feedback; circuit oscillations; delay systems; delays; feedback; graph theory; neural nets; nonlinear network analysis; nonlinear systems; oscillations; Hopf bifurcation; frequency-domain approach; graphical algorithm; higher order harmonic-balance approximations; multiple oscillations; nonlinear time-delayed feedback systems; period-doubling bifurcations; periodic solutions; time-delayed Chua circuit; time-delayed neural-network model; Bifurcation; Chaos; Circuits; Delay effects; Difference equations; Feedback; Frequency domain analysis; Neurofeedback; Nonlinear dynamical systems; Prediction algorithms;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on