Nonlinear Dynamics of the Colpitts Chaotic Oscillator Under Bias Voltage Tuning

2025 IEEE 12th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE 2025): Proceedings 2025
Darja Čirjuļina, Sergejs Tjukovs, Ruslans Babajans, Nikolajs Bogdanovs, Dmitrijs Pikuļins

This article investigates the nonlinear dynamics of the Colpitts chaotic oscillator influenced by a DC bias source, proposing a novel method for controlling and stabilizing chaos. Chaotic oscillators are widely utilized in secure communication and random number generation applications, where maintaining robust chaotic behavior is crucial. Traditionally, adjusting the dynamics of analog chaotic oscillators requires modifying hardware components, making transitions between different operating modes complex and impractical. Furthermore, long-term component degradation and variations in nominal values can lead to an unintended transition from chaos to periodicity, compromising system security and performance. In this study, we demonstrate that bias voltage tuning provides a flexible and effective means to control and stabilize the chaotic dynamics of the Colpitts oscillator. The findings establish bias voltage control as a practical and reliable solution for sustaining chaos, ensuring long-term stability and adaptability of chaotic behavior. This method enhances chaotic oscillators' reliability and practical applicability in security and signal processing applications, reducing dependency on hardware modifications. © 2025 IEEE.

Keywords
bias voltage control; Colpitts chaotic oscillator; nonlinear dynamics; robust chaos; secure communication
DOI
10.1109/AIEEE66149.2025.11050868
Hyperlink
https://ieeexplore.ieee.org/document/11050868

Čirjuļina, D., Tjukovs, S., Babajans, R., Bogdanovs, N., Pikuļins, D. Nonlinear Dynamics of the Colpitts Chaotic Oscillator Under Bias Voltage Tuning. In: 2025 IEEE 12th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE 2025): Proceedings, Lithuania, Vilnius, 15-17 May, 2025. Piscataway: IEEE, 2025, pp.1-6. ISBN 978-1-6654-6562-5. e-ISBN 978-1-6654-9688-9. ISSN 2689-7334. e-ISSN 2689-7342. Available from: doi:10.1109/AIEEE66149.2025.11050868

Publication language
English (en)