Pramana – J. Phys. (2017) 88: 34
c
Indian Academy of Sciences
DOI 10.1007/s12043-016-1342-3
Implementation of a new memristor-based multiscroll hyperchaotic
system
CHUNHUA WANG, HU XIA
∗
and LING ZHOU
College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China
∗
Corresponding author. E-mail: 853200447@qq.com
MS received 14 December 2015; revised 23 June 2016; accepted 29 July 2016; published online 17 January 2017
Abstract. In this paper, a new type of flux-controlled memristor model with fifth-order flux polynomials is
presented. An equivalent circuit which realizes the action of higher-order flux-controlled memristor is also pro-
posed. We use the memristor model to establish a memristor-based four-dimensional (4D) chaotic system, which
can generate three-scroll chaotic attractor. By adjusting the system parameters, the proposed chaotic system
performs hyperchaos. Phase portraits, Lyapunov exponents, bifurcation diagram, equilibrium points and stabil-
ity analysis have been used to research the basic dynamics of this chaotic system. The consistency of circuit
implementation and numerical simulation verifies the effectiveness of the system design.
Keywords. Memristor; hyperchaos; three-scroll chaotic attractor; circuit implementation.
PACS Nos 05.40.Jc; 05.45.Pq
1. Introduction
Leon Chua proposed the concept of memristor as
the fourth circuit element in 1971 [1]. It represents a
relationship between the flux and the charge. Memristor
is a two-terminal element with variable resistance called
memristance which depends on how much electric
charge has been passed through it in a particular
direction. In 2008, researchers in Hewlett–Packard
announced that a solid-state implementation of mem-
ristor has been successfully fabricated [2]. Since then,
memristor-based chaotic systems gained a lot of atten-
tion. Researchers mainly focussed on using a memris-
tor to substitute Chua’s diode of Chua’s circuit [3–12],
building various chaotic circuits based on memristor
and then completing the analysis of dynamics. In addi-
tion, Li [13] proposed a memristor oscillator based on
a twin-T network. Through coupling, Corinto [14] real-
ized a chaotic oscillator containing three flux-controlled
memristor. Based on a nonlinear model of HP TiO
2
memristor, two different memristor-based chaotic cir-
cuits are constructed [15,16]. In the past few years,
many researchers devoted themselves to introducing
the memristor to Lü, Chen and Lorenz chaotic systems
[17,18], and then nonlinear systems are further studied
using topological horseshoe theory.
So far, memristor-based chaotic systems are lim-
ited to single-scroll and double-scroll, and so chaotic
dynamics was not complicated. Memristor-based mul-
tiscroll chaotic systems have been rarely found. In
2014, Li [19] presented a memristor-based three-scroll
chaotic system. However, Li [19] used the additional
ordinary nonlinear function to generate a three-scroll
attractor. So the circuit is more complicated and the
system is not a memristor-based multiscroll chaotic
system in the real sense. In 2014, Teng [20] used mem-
ristor to achieve multiscroll chaotic attractor, without
the additional ordinary nonlinear function. A fifth-order
generalized charge-controlled memristor is presented
in [20] and multiscroll chaotic system is implemented.
However, only two-scroll and four-scroll chaotic sys-
tems are obtained in [20], and then odd-scroll could not
be achieved. Moreover, charge-controlled memristor
was used to implement chaotic system in [20], and then
charge-controlled memristor emulator is complicated
and has difficulty in circuit implementation. Further-
more, memristor and memristor-based chaotic system
in [20] are realized using mathematical simulation
only, without circuit implementation.
Based on the above theory, this paper proposes a new
type of flux-controlled memristor model with fifth-
order flux polynomials, and the memristor model is
1