ANALOGUE FRACTIONAL-ORDER GENERALIZED MEMRISTIVE DEVICES

被引:0
|
作者
Coopmans, Calvin [1 ]
Petras, Ivo
Chen, YangQuan [1 ]
机构
[1] Utah State Univ, CSOIS, Dept Elect & Comp Engn, Logan, UT 84322 USA
关键词
fractional calculus; fractional-order system; mcmristive devices; memristor; fractor; fractductor; REALIZATION; IMMITTANCE; ELEMENT;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Memristor is a new electrical element which has been predicted and described in 1971 by Leon O. Chua and for the first time realized by HP laboratory in 2008. Chua proved that memristor behavior could not be duplicated by any circuit built using only the other three elements (resistor, capacitor, inductor), which is why the memristor is truly fundamental. Memristor is a contraction of memory resistor, because that is exactly its function: to remember its history. The memristor is a two-terminal device whose resistance depends on the magnitude and polarity of the voltage applied to it and the length of time that voltage has been applied. The missing element - the memristor, with memristance M-provides a functional relation between charge and flux, d phi = Mdq. In this paper, for the first time, the concept of (integer-order) memristive systems is generalized to non-integer order case using fractional calculus. We also show that the memory effect of such devices can be also used for an analogue implementation of the fractional-order operator, namely fractional-order integral and fractional-order derivatives. This kind of operators are useful for realization of the fractional-order controllers. We present theoretical description of such implementation and we proposed the practical realization and did some experiments as well.
引用
收藏
页码:1127 / 1136
页数:10
相关论文
共 50 条
  • [1] Fractional-Order Memristive Systems
    Petras, Ivo
    Chen, YangQuan
    Coopmans, Calvin
    [J]. 2009 IEEE CONFERENCE ON EMERGING TECHNOLOGIES & FACTORY AUTOMATION (EFTA 2009), 2009,
  • [2] Dynamical Analysis of a Fractional-Order Boost Converter with Fractional-Order Memristive Load
    Wu, Chaojun
    Zhang, Qi
    Yang, Ningning
    Jia, Rong
    Liu, Chongxin
    [J]. INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2022, 32 (03):
  • [3] Analogue Realizations of Fractional-Order Controllers
    I. Podlubny
    I. Petráš
    B. M. Vinagre
    P. O'Leary
    Ľ. Dorčák
    [J]. Nonlinear Dynamics, 2002, 29 : 281 - 296
  • [4] Generalized Finite-Time Stability and Stabilization for Fractional-Order Memristive Neural Networks
    Zhao, Lirui
    Wu, Huaiqin
    [J]. OPTICAL MEMORY AND NEURAL NETWORKS, 2021, 30 (01) : 11 - 25
  • [5] Analogue realizations of fractional-order controllers
    Podlubny, I
    Petrás, I
    Vinagre, BM
    O'Leary, P
    Dorcák, L
    [J]. NONLINEAR DYNAMICS, 2002, 29 (1-4) : 281 - 296
  • [6] Generalized Finite-Time Stability and Stabilization for Fractional-Order Memristive Neural Networks
    [J]. Optical Memory and Neural Networks, 2021, 30 : 11 - 25
  • [7] Fractional-Order and Memristive Nonlinear Systems: Advances and Applications
    Radwan, Ahmed G.
    Azar, Ahmad Taher
    Vaidyanathan, Sundarapandian
    Munoz-Pacheco, Jesus M.
    Ouannas, Adel
    [J]. COMPLEXITY, 2017,
  • [8] Fracmemristor Oscillator: Fractional-Order Memristive Chaotic Circuit
    Pu, Yi-Fei
    Yu, Bo
    He, Qiu-Yan
    Yuan, Xiao
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2022, 69 (12) : 5219 - 5232
  • [9] On Series Connections of Fractional-Order Elements and Memristive Elements
    Khalil, Nariman A.
    Fouda, Mohammed E.
    Said, Lobna A.
    Radwan, Ahmed G.
    Soliman, Ahmed M.
    [J]. 2020 32ND INTERNATIONAL CONFERENCE ON MICROELECTRONICS (ICM), 2020, : 230 - 233
  • [10] Sliding Mode Control of Fractional-Order Memristive System
    Dawei Ding
    Shujia Li
    Nian Wang
    [J]. Journal of Beijing Institute of Technology, 2017, 26 (03) : 418 - 426