Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
engineering
Synchronization of improved chaotic Colpitts oscillators using nonlinear feedback control
Nonlinear Dynamics, Volume 58, No. 1-2, Year 2009
Notification
URL copied to clipboard!
Description
The model and the normalized state equations of the novel version of the Colpitts oscillator designed to operate in the ultra-high frequency range are presented. The circuit is investigated numerically and simulations demonstrate chaos in the microwave frequency range. Typical phase portrait, Lyapunov exponent and Lyapunov dimension are calculated using a piece-wise linear approximation of nonlinear I-V characteristic of the bipolar junction transistor. In addition, the feedback controller is applied to achieve chaos synchronization for two identical improved chaotic Colpitts oscillators. In the frame the nonlinear function of the system is used as a nonlinear feedback term for the stability of the error dynamics. Finally, numerical simulations show that this control method is feasible for this oscillator. © 2008 Springer Science+Business Media B.V.
Authors & Co-Authors
Effa, Joseph Yves
Cameroon, Yaounde
Université de Yaoundé I
Essimbi, Bernard Zobo
Cameroon, Yaounde
Université de Yaoundé I
Mucho Ngundam, J.
Cameroon, Yaounde
Université de Yaoundé I
Statistics
Citations: 29
Authors: 3
Affiliations: 1
Identifiers
Doi:
10.1007/s11071-008-9459-7
ISSN:
0924090X
Research Areas
Mental Health