Detail publikace

Modeling of the generic memcapacitors using higher-order multi-ports

BIOLEK, Z. BIOLKOVÁ, V. BIOLEK, D. KOLKA, Z.

Originální název

Modeling of the generic memcapacitors using higher-order multi-ports

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

The paper introduces predictive modeling of generic memcapacitors using multi-port versions of fundamental elements of Chua’s table. Generic memcapacitors are the most common type of memcapacitive systems; they behave as state-dependent capacitors, with the capacitance being independent of the voltage and charge. The predictive model consists of a multiport capacitor and an associated dynamic system that represents the state of the dynamics. It is shown that the potential function of the multi-port is the energy of the electrostatic field of the memcapacitor. It enables incorporating this element into the framework of Lagrangian formalism. Practical implementations of the model are presented on specific examples from selected fields of science: a memory circuit with an electrostatically controlled bistable membrane, and a lipid bilayer model inspired by the processes that occur in cell membranes.

Klíčová slova

Chua’s table; Multiport element; Memcapacitive system; Lagrangian

Autoři

BIOLEK, Z.; BIOLKOVÁ, V.; BIOLEK, D.; KOLKA, Z.

Vydáno

14. 5. 2022

Nakladatel

Elsevier

Místo

Amsterodam, Holandsko

ISSN

1007-5704

Periodikum

Communications in Nonlinear Science and Numerical Simulation

Ročník

113

Číslo

1

Stát

Nizozemsko

Strany od

1

Strany do

14

Strany počet

14

URL

https://www.sciencedirect.com/science/article/pii/S1007570422001423

Plný text v Digitální knihovně

http://hdl.handle.net/11012/204312

BibTex

@article{BUT177953,
  author="Zdeněk {Biolek} and Viera {Biolková} and Dalibor {Biolek} and Zdeněk {Kolka}",
  title="Modeling of the generic memcapacitors using higher-order multi-ports",
  journal="Communications in Nonlinear Science and Numerical Simulation",
  year="2022",
  volume="113",
  number="1",
  pages="1--14",
  doi="10.1016/j.cnsns.2022.106497",
  issn="1007-5704",
  url="https://www.sciencedirect.com/science/article/pii/S1007570422001423"
}