Turkish Journal of Electrical Engineering and Computer Sciences
Electronically tunable CCCII and OTA-based fractional-order meminductor emulator and its application
Author ORCID Identifier
BHAWNA AGGARWAL: 0000-0002-4165-0320
RUPAM DAS: 0000-0002-2296-1553
SHIREESH RAI: 0000-0001-7230-0166
Abstract
In this paper, two fractional-order meminductor (FOMI) emulators have been realized using second-generation current-controlled conveyor (CCCII) and operational transconductance amplifier (OTA). In the first realization, two OTAs, one CCCII, one resistor, one fractional-order capacitor, and one integer-order capacitor are used. In the second configuration two CCCIIs, one OTA, two resistors, one fractional-order capacitor, and one integer-order capacitor are used. Pinched hysteresis loops have been achieved for a wide range of frequencies. The robustness of the proposed FOMI emulators has been verified through formation of pinched hysteresis loops under process, voltage, and temperature variations. Other characteristics, such as transient analysis, nonvolatility tests, tunability, and pinched hysteresis loops for variations in the order of the fractional capacitor, are also found to be satisfactory. The proposed configurations of the fractional-order meminductor emulator are also compared with existing solutions for integer- and fractional-order meminductors. Furthermore, the performance of the proposed FOMI is verified by embedding it in the design of a chaotic oscillator.
DOI
10.55730/1300-0632.4143
Keywords
Fractional-order meminductor, memristor, OTA, CCCII, chaotic oscillator, fractional capacitor
First Page
531
Last Page
555
Publisher
The Scientific and Technological Research Council of Türkiye (TÜBİTAK)
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
AGGARWAL, B, DAS, R, & RAI, S. K (2025). Electronically tunable CCCII and OTA-based fractional-order meminductor emulator and its application. Turkish Journal of Electrical Engineering and Computer Sciences 33 (5): 531-555. https://doi.org/10.55730/1300-0632.4143