Dynamical analysis and control of a financial system incorporating technological advancement factor

This study examines a financial model that incorporates technological advancements as a key factor, alongside interest rates, investment demand and price indices, to capture their increasing impact on financial management. This incorporation results in an enhanced four-dimensional chaotic system, which has been extensively analyzed to explore its detailed dynamical behavior, including equilibria, instability and the emergence of various attractors. Bifurcation analysis and Lyapunov exponents have been utilized to gain a deeper understanding of these dynamics. Linear and speed feedback controllers have been designed and implemented as stabilization mechanisms to mitigate identified chaotic behavior. Numerical simulations have been performed to demonstrate the effectiveness of these control strategies, offering robust support for the theoretical findings.

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Publication Details

Journal
International Journal of Modern Physics C
Published
2025-07-25
DOI
https://doi.org/10.1142/s0129183126500063
Citations
3
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
9.39
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article

Dynamical analysis and control of a financial system incorporating technological advancement factor

Kaushik Dehingia, Subhas Khajanchi, Hemanta Kumar Sarmah, Lovely Borah
3 citations
International Journal of Modern Physics C
Complex Systems and Time Series Analysis
9.39
article

Dynamical analysis and control of a financial system incorporating technological advancement factor

Kaushik Dehingia, Subhas Khajanchi, Hemanta Kumar Sarmah, Lovely Borah
article en
3 citations

Abstract

This study examines a financial model that incorporates technological advancements as a key factor, alongside interest rates, investment demand and price indices, to capture their increasing impact on financial management. This incorporation results in an enhanced four-dimensional chaotic system, which has been extensively analyzed to explore its detailed dynamical behavior, including equilibria, instability and the emergence of various attractors. Bifurcation analysis and Lyapunov exponents have been utilized to gain a deeper understanding of these dynamics. Linear and speed feedback controllers have been designed and implemented as stabilization mechanisms to mitigate identified chaotic behavior. Numerical simulations have been performed to demonstrate the effectiveness of these control strategies, offering robust support for the theoretical findings.

International Journal of Modern Physics C
Khazar University (AZ), Gauhati University (IN), Presidency University (IN), Near East University (CY)
Openalex Percentile: Top 3%
Complex Systems and Time Series Analysis
9.39
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