JOURNAL ARTICLE
A Novel Analog Electronic Circuit for Versatile Fractional Exponentiation.
Published In: International Journal of Bifurcation & Chaos in Applied Sciences & Engineering, 2025, v. 35, n. 4. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Cen, Xiaoliang; Li, Chunbiao; Liu, Wangyu; Yang, Yong; Minati, Ludovico 3 of 3
Abstract
The presence of nonlinear feedback is an effective method for generating chaos in dynamical systems. Although physics provides a plethora of nonlinear relationships that can be exploited for this purpose, engineering chaotic electronic circuits with prescribed nonlinear terms remain a formidable challenge. In particular, the implementation of fractional exponentiation represents a particularly challenging task. In this paper, we present a solution to this problem in the form of a new circuit topology, which we have designated as the "444 circuit", comprising only four transistors, four operational amplifiers, and four resistor pairs. In addition to multiplication and division, this circuit can perform complex algebraic operations, including the calculation of fractional powers. After introducing its operating principles and some conceptual aspects of its implementation, we demonstrate the performance of this unifying circuit structure by realizing a family of Lorenz-like systems. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Bifurcation & Chaos in Applied Sciences & Engineering. 2025/03, Vol. 35, Issue 4, p1
- Document Type:Article
- Subject Area:Engineering
- Publication Date:2025
- ISSN:0218-1274
- DOI:10.1142/S0218127425300095
- Accession Number:183955210
- Copyright Statement:Copyright of International Journal of Bifurcation & Chaos in Applied Sciences & Engineering is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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