journal article·2025-07-03Open access

An Electronically Adjustable Floating Memcapacitor Emulator Circuit Using CDBA

Sevgi Gursul Kalac, Zehra Gulru Cam Taskiran, Serdar Ethem Hamamci

Applied Sciences· Volume 15· Issue 13

Abstract

Memristive elements, known as memristors, memcapacitors and meminductors, have become an important topic of research in the electronics world in recent years. As there is still no efficient way to manufacture two-terminal memristive elements, many researchers have focused their efforts on designing emulator circuits that mimic these devices. In this study, a memcapacitor emulator circuit using Current Derivative Buffered Amplifier (CDBA) is proposed, which has significant advantages such as wide dynamic range, differential structure at the input port, high sloping rate and wide bandwidth. The main advantages of the emulator are that it is floating without grounding constraint, it is electronically adjustable, it has charge-controlled incremental and decremental modes and it has a simpler circuit structure since it does not contain a memristor. To ensure the integrity of the circuit theory, the results of the mathematical model and the simulation of the memcapacitor are given together. In addition, the characteristics of the experimentally investigated memcapacitor emulator are in good agreement with the simulation results. To provide an illustration of the performance of the proposed emulator, firstly the second-order active low-pass filter circuit and subsequently the amoeba learning circuit are selected as the working environment. The results show that the filtering performance of the proposed emulator at a value after the cut-off frequency in the filter circuit is 25% more efficient than a standard capacitor and in terms of power consumption, it consumes 27.93% less power than a standard capacitor. Moreover, the emulator successfully accomplishes the learning and data storage tasks in the amoeba learning circuit.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Advanced DC-DC Converters · Neuroscience and Neural Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Electrical and Electronics Engineering Department, Inonu University, 44280 Malatya, Türkiye

Electronics and Communication Engineering Department, Yildiz Technical University, 34220 Istanbul, Türkiye

Funding

the Inonu University Project of Scientific Research Unit (BAP)

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