Full text
F acmem is o chao ic oscilla o wi h mul is able and an imono onici y
p ope ies
Haikong Lu
a
, Ji i Pe zela
b,
⇑
, Tomas Go hans
b
, Ka hikeyan Rajagopal
c
, Sajad Ja a i
d
, Iq ada Hussain
e
a
School o Elec onic Enginee ing, Changzhou College o In o ma ion Technology, 213164, China
b
Depa men o Radio Elec onics, B no Uni e si y o Technology, 616 00 B no, Czech Republic
c
Nonlinea Sys ems and Applica ions, Facul y o Elec ical and Elec onics Enginee ing, Ton Duc Thang Uni e si y, Ho Chi Minh Ci y, Vie Nam
d
Depa men o Biomedical Enginee ing, Ami kabi Uni e si y o Technology, 424 Ha ez A e., Teh an 15875-4413, I an
e
Depa men o Ma hema ics, S a is ics and Physics, Qa a Uni e si y, Doha 2713, Qa a
g aphical abs ac
a icle in o
A icle his o y:
Recei ed 4 Ap il 2020
Re ised 29 May 2020
Accep ed 30 May 2020
A ailable online 17 June 2020
Keywo ds:
Mem is o
F acmem is o
Chao ic oscilla o s
Mul is abili y
An imono onici y
abs ac
Mem is o is a non-linea ci cui elemen in which ol age-cu en ela ionship is de e mined by he p e-
ious alues o he ol age and cu en , gene ally he his o y o he ci cui . The nonlinea i y in his com-
ponen can be conside ed as a ac ional-o de o m, which yields a ac ional mem is o ( acmem is o ).
In his pape , a ac ional-o de mem is o in a chao ic oscilla o is applied, while he o he elec onic ele-
men s a e o in ege o de . The ac ional-o de ange is de e mined in a way ha he ci cui has chao ic
solu ions. Also, he s a is ical and dynamical ea u es o his ci cui a e analyzed. Tools like Lyapuno
exponen s and bi u ca ion diag am show he exis ence o mul is abili y and an imono onici y, wo less
common p ope ies in chao ic ci cui s.
Ó2020 The Au ho s. Published by Else ie B.V. on behal o Cai o Uni e si y. This is an open access a icle
unde he CC BY license (h p://c ea i ecommons.o g/licenses/by/4.0/).
h ps://doi.o g/10.1016/j.ja e.2020.05.025
2090-1232/Ó2020 The Au ho s. Published by Else ie B.V. on behal o Cai o Uni e si y.
This is an open access a icle unde he CC BY license (h p://c ea i ecommons.o g/licenses/by/4.0/).
Pee e iew unde esponsibili y o Cai o Uni e si y.
⇑
Co esponding au ho .
E-mail add esses: [email p o ec ed] (J. Pe zela), [email p o ec ed] (T. Go hans), [email p o ec ed] (S. Ja a i), [email p o ec ed] (I. Hussain).
Jou nal o Ad anced Resea ch 25 (2020) 137–145
Con en s lis s a ailable a ScienceDi ec
Jou nal o Ad anced Resea ch
jou nal homepage: www.else ie .com/loca e/ja e
In oduc ion
A mem is o is a non-linea ci cui ci cui elemen , which is
based on nonlinea ol age-cu en ela ion. The elec ical esis-
ance o his elemen is ela ed o i s p e ious cu en , so i has been
named mem is o (memo y esis o ) [1]. Ci cui s and sys ems con-
aining mem is o s ha e been success ully used in image and ex
enc yp ion, simula ing biological sys ems, elec onic and neu al
ne wo ks [2]. Con inuous symme ical, con inuous nonsymme i-
cal, swi ching and ac ional models o mem is o wi h i s emula-
o s and ealiza ions a e discussed in [3]. Chao ic ci cui s and
sys ems a e in e es ing opics in nonlinea dynamics [4]. Va ious
chao ic sys ems ha e been p oposed in ecen yea s [5,6]. Mem is-
i e sys ems show complex dynamical beha io s, like chaos [7],
mul is abili y [8], and hidden a ac o s. Designing and analyzing
mem is i e sys ems and ci cui s wi h pa icula p ope ies ha e
been conside ed in di e en oscilla o e.g., Wien-b idge oscilla o
[9], diode b idge-based oscilla o [10] and neu on models [11].
F ac ional-o de di e en ial equa ions a e in he g oup o non-
linea and complex sys ems [12–14]. These sys ems ha e shown
di e en complex p ope ies such as hype chaos [15], sel -
p oducing a ac o s, and s ange maps [16], which enabled hem
o be used in modeling o biological phenomena, elec ical compo-
nen s, con olle s, and il e s [17]. Mul is abili y and an imono-
onici y a e wo ea u es ha ha e been epo ed in ac ional-
o de sys ems [18]. The p edic o –co ec o me hod o he
Adams-Bash o h-Moul on (ABM) algo i hm can be used o dis-
c e ize ac ional-o de equa ions, especially when sys ems a e
highly sensi i e.
Se e al s udies ha e been done ecen ly o de elop and ealize
he ac ional-o de elemen . F ac ional pa ame e s o hese ele-
men s p o ide lexibili y and deg ees o eedom in compu a ional
modeling [19], con ol enginee ing [20,21], and il e designing
[22]. Al hough he ac ional-o de o m o he h ee con en ional
elemen s has been explo ed well, s udying his o m o mem is o
s ill is a new opic. S ep, DC, sinusoidal, and non-sinusoidal pe i-
odic esponses o he ac ional-o de mem is o ha e been ana-
lyzed in [23,24]. Some esea ches show ha sa u a ion ime o
his elemen changes when ac ional o de and ol age change
[23,24]. Also, conside ing ac ional o de makes a cha ge-
con olled mem is o ha e wo hys e esis loop in i s V-I plane
[25].To compa e he e ec o using ac ional mem is o , e e ence
[26] shows ha a wide ange o equency is gene a ed using he
mem is o wi h ac ional-o de elemen s, a he han in ege
ones. Also, conside ing ac ional-o de mem is i e Chua’s ci cui
makes i a non-smoo h sys em which shows di e en bi u ca ions
such as angen o g azing ones [27].
As ac ional-sys ems a e in he g oup o complex sys ems, hey
need ele an analyzing ools. To analyze he s a is ical p ope ies
o he sys ems, equilib ia, eigen alues, and s abili y should be
checked. In hese sys ems, he s abili y depends on he alue o
he o de in addi ion o he eigen alues. Also, o analyze he
dynamical p ope ies o he sys ems, Lyapuno exponen s (LEs)
shows he di e gence o he adjacen ini ial condi ions. Wol ’s
algo i hm [28] is a well-known algo i hm ha nume ically es i-
ma es he LEs o he sys em. In ha case, he posi i i y o he la -
ges Lyapuno exponen (LLE) o he sys em shows he chao ici y
o he sys em. The bi u ca ion diag am o he sys ems is ano he
ool o analyze he a ac o s o he sys ems as he con olling
pa ame e (s) changes. Using bi u ca ion diag am, one can explo e
he mul is abili y and an imono onici y o he sys em.
We comple ely in oduce he acmem is o and Twin-T oscilla-
o ma hema ical model and ci cui in Sec ion 2. The s a is ical and
dynamical p ope ies o he p oposed ac ional-o de model a e
analyzed in Sec ion 3. We also explain he s abili y o he equilib-
iums, he Lyapuno exponen s, bi u ca ion diag am, mul is abil-
i y, and an imono onici y o he p oposed model in ha sec ion.
Finally, he conclusion o his wo k is p esen ed in Sec ion 4.
F acmem is o Twin-T oscilla o (FTT)
The ac ional-o de o m o he mem is o is gi en by [24],
R
m
¼R
qþ1
in
C
qþ2ðÞ
C
qðÞ gR
on
R
o
Z
0
s
ðÞ
qþ1
s
ðÞd
s
2
43
5
1
qþ1
ð1Þ
in which R
m
,R
on
,R
o
and Rin deno e he momen , minimum,
maximum, and ini ial alue esis ances o he mem is o , espec-
i ely. Also, g and q a e he mem is o cons an and he
ac ional-o de which a ies in he ange o 0;1
ðÞ
. I should be
no ed ha he mem is o in (1) becomes in ege -o de , when
q¼1.
The oscilla o , which is conside ed in his pape , is Twin-T
mem is o oscilla o [29]. Unlike mos o he ac ional-o de sys-
ems which conside all he elemen s as ac ional ones, we jus
s udy he e ec o he ac ional-o de mem is o in in ege -
o de Twin-T oscilla o . In [29], he au ho s p oposed a mem is o
emula o which con ains an op-amp based in ege -o de in eg a-
o . We eplace he in ege -o de in eg a o wi h he ac ional-
o de one discussed in [30].Fig. 1 shows he acmem is o emula-
o , and Fig. 2 shows he Twin-T oscilla o wi h his acmem is o .
In Fig. 1, he alue o he esis o s is R
D
=A
–1
Rwhe e A
1
¼
1þq
1q
and q ep esen s he ac ional o de o he sys em [30]. The
ol age-cu en ela ionship o he mem is o emula o wi h
ac ional-o de in eg a o will be
i¼MV
/
V¼
VgV gV
2
/
ðÞ
R
/
¼
1
R
/
1g
2
V
2
/
V
d
a
V
/
d
a
¼
V
/
R
D
C
/
V
RC
/
ð2Þ
whe e M(V
/
) is a con inuous linea impedance unc ion ela ed
o he ol age o he mem is o V
/
and equals
MV
/
¼
1
R
/
1g
2
V
2
/
.
Using KVL in Fig. 2, we can de i e he dimensionless model [29]
as
_
x¼a
1
MwðÞyþa
2
zþa
3
x;
_
y¼a
4
MwðÞyþa
5
zþa
6
x;_
z¼a
7
xþa
8
z;
D
q
w¼a
9
yþa
10
w
ð3Þ
whe e MðwÞ¼
a
þbw
2
,x=V
a
,y=V
b
,z=V
c
and w=V
/
.
In his a icle, we used he P edic E alua e Co ec E alua e
(PECE) me hod o ABM, which i s con e gence and accu acy a e
discussed in [31]. To use he PECE me hod, we i s conside a
ac ional-o de dynamical sys em as
D
q
x¼ ;xðÞ;0 Tð4Þ
whe e x
k
0ðÞ¼x
k
0
o k2[0, n–1]. This equa ion is analogous o
he Vol e a in eg al equa ion as
x ðÞ¼X
n1
k¼0
x
k
0
k
k!þ1
C
qðÞ
Z
0
s
;xðÞ
s
ðÞ
1q
d
s
ð5Þ
which can be disc e ized as
x
h
nþ1
ðÞ¼
X
n1
k¼0
x
ðkÞ
0
kþ1
n
k!þh
q
C
qþ2ðÞ
nþ1
;x
p
h
nþ1
ðÞ
þh
q
C
qþ2ðÞ
Xa
j;nþ1
j
;x
h
j
ð6Þ
whe ein (6),h¼
T
N
and
n
¼nh as h2[0, N]. Also, we ha e
138 H. Lu e al. / Jou nal o Ad anced Resea ch 25 (2020) 137–145
a
j;nþ1
¼
n
qþ1
nqðÞðnþ1Þ
qþ1
;j¼0
2njþ1ðÞ
qþ1
;1jn
1;j¼nþ1
8
>
<
>
:
x
p
h
nþ1
ðÞ¼
P
n1
k¼0
x
ðkÞ
0
kþ1
n
k!
þ
h
q
C
2ðÞ
P
n
j¼0
b
j;nþ1
j
x
h
j
b
j;nþ1
¼
h
q
q
njþ1ðÞ
q
njðÞ
q
ð7Þ
The es ima ed e o is e¼Max x
i
ðÞx
h
ð
i
Þjj¼0ðh
p
Þwhile
j¼0;1;;Nand p¼Minð2;1þqÞ.
Using he abo e, he ou h s a e o he FTT disc e e o m is
w
nþ1
¼
w
0
þ
h
q
C
qþ2ðÞ
a
9
y
p
nþ1
þa
10
w
p
nþ1
þ
h
q
C
qþ2ðÞ
P
n
j¼0
g
j;nþ1
a
9
y
j
þa
10
w
j
hi
8
<
:
9
=
;
ð8Þ
as
w
p
nþ1
¼w
0
þ1
C
qþ2ðÞ
X
n
j¼0
x
j;nþ1
a
9
y
j
þa
10
w
j
ð9Þ
and
g
l;j;nþ1
¼
n
qþ1
nqðÞðnþ1Þ
qþ1
;j¼0
njþ2ðÞ
qþ1
þnjðÞ
qþ1
2njþ1ðÞ
qþ1
;1jn
1;j¼nþ1
8
>
<
>
:
x
l;j;nþ1
¼
h
q
q
njþ1ðÞ
q
njðÞ
q
;0jn
ð10Þ
whe e l=1.
To sol e he equa ion, he ou h-o de Runge-Ku a me hod is
used o he i s h ee s a es, and PECE is used o he ac ional-
o de s a e in (3). Eq. (3) can be disc e ized as
xnþ1
ðÞ
¼xn
ðÞ
þ
1
6
K
ð1Þ
x
n
ðÞ
þ2K
ð2Þ
x
n
ðÞ
þ2K
ð3Þ
x
n
ðÞ
þK
ð4Þ
x
n
ðÞ
hi
ynþ1ðÞ¼ynðÞþ
1
6
K
ð1Þ
y
nðÞþ2K
ð2Þ
y
nðÞþ2K
ð3Þ
y
nðÞþK
ð4Þ
y
nðÞ
hi
znþ1ðÞ¼znðÞþ
1
6
K
ð1Þ
z
nðÞþ2K
ð2Þ
z
nðÞþ2K
ð3Þ
z
nðÞþK
ð4Þ
z
nðÞ
hi
wðnþ1Þ¼
wðnÞþ
h
q
C
qþ2ðÞ
a
9
y
p
nþ1
þa
10
w
p
nþ1
þ
h
q
C
qþ2ðÞ
P
n
j¼0
g
j;nþ1
a
9
y
j
þa
10
w
j
hi
8
>
<
>
:
9
>
=
>
;
ð11Þ
whe e
K
ð1Þ
x
nðÞ¼h
x
xnðÞ;ynðÞ;znðÞ;wðnÞ½
K
ð2Þ
x
nðÞ¼h
x
xnðÞþ
K
ð1Þ
x
nðÞ
2
;ynðÞþ
K
ð1Þ
y
nðÞ
2
;znðÞþ
K
ð1Þ
z
nðÞ
2
þ
K
ð1Þ
w
nðÞ
2
K
ð3Þ
x
nðÞ¼h
x
xnðÞþ
K
ð2Þ
x
nðÞ
2
;ynðÞþ
K
ð2Þ
y
nðÞ
2
;znðÞþ
K
ð2Þ
z
nðÞ
2
þ
K
ð2Þ
w
nðÞ
2
K
ð4Þ
x
nðÞ¼h
x
xnðÞþ
K
ð3Þ
x
nðÞ
2
;ynðÞþ
K
ð3Þ
y
nðÞ
2
;znðÞþ
K
ð3Þ
z
nðÞ
2
þ
K
ð3Þ
w
nðÞ
2
ð12Þ
Simila ly, he Runge-Ku a coe icien s o he o he wo s a es
(y,z) can be calcula ed as (12). Fo he pa ame e alues o
a
1
¼9, a
2
¼0:77, a
3
¼0:07, a
4
¼0:75, a
5
¼0:42, a
6
¼0:0382,
a
7
¼3:532, a
8
¼3:85, a
9
¼10, a
10
¼1,
a
¼1,b¼0:01 and
q¼0:99, he 2D phase po ai s o he FTT sys em a e shown in
Fig. 3.
Analysis o he FTT oscilla o
Equilib ium poin s, co esponding eigen alues, s abili y, LEs,
and bi u ca ion diag am o he FTT a e examined o he sys em
in his sec ion.
Fig. 1. Mem is o emula o wi h he ac ional-o de in eg a o .
Fig. 2. Twin-T oscilla o wi h acmem is o (F
M
).
H. Lu e al. / Jou nal o Ad anced Resea ch 25 (2020) 137–145 139
S a is ical analysis o he sys em
The FTT sys em shows h ee ixed poin s as below
E
1
¼½0;0;0;0;E
2
¼0;a
10
a
9
ffiffiffiffiffiffiffi
a
b
;0;ffiffiffiffiffiffiffi
a
b
;
E
3
¼0;a
10
a
9
ffiffiffiffiffiffiffi
a
b
;0;ffiffiffiffiffiffiffi
a
b
ð13Þ
The Jacobian ma ix o he FTT sys em is
JðXÞ¼
a
3
a
1
ðbw
2
þ
a
Þa
2
2a
1
bwy
a
6
a
4
ðbw
2
þ
a
Þa
5
2a
4
bwy
a
7
0a
8
0
0a
9
0a
10
ð14Þ
The equa ion de ðdiagðk
M
q1
;k
M
q2
;k
M
q3
;k
M
q4
ÞJ
E
i
Þ¼0 yields he
gene alized cha ac e is ic polynomial o he FTT sys em. In his
equa ion, q
1
¼q
2
¼q
3
¼1, q
4
¼0:99 and Mis he leas common
mul iple (LCM) o q
i
o i¼1;;4. The cha ac e is ic equa ions
a E
1
;E
2
and E
3
a e gi en by (15),(16) and (17) espec i ely.
k
399
þk
300
þ3:03k
299
þ3:03k
200
0:72866k
199
0:72866k
100
þ10:189725k
99
þ10:189725 ¼0ð15Þ
k
399
þk
300
þ3:78k
299
þ5:28k
200
þ2:45014k
199
þ8:80774k
100
20:37945 ¼0ð16Þ
k
399
þk
300
þ3:78k
299
þ5:28k
200
þ2:45014k
199
þ8:80774k
100
20:37945 ¼0ð17Þ
Co olla y 1. The ixed poin s should be uns able o he FTT sys em
exhibi chao ic dynamics. So he essen ial condi ion is any ko he
equilib ium poin s should sa is y he ollowing inequali y
q>2
p
a c an Im kðÞjj
Re kðÞ
ð18Þ
The eigen alues o he FTT a he equilib ium E
1
when a¼3a e
k
1,2
= 0.5000 ± 0.8660i and k
3
= –2, which o sa is y (18), we ha e
q> 0.97.
Co olla y 2. A chao ic a ac o exis s in he FTT i he co esponding
equilib ium poin s show ins abili y. So he essen ial condi ion is ha
he oo s o he cha ac e is ic equa ions (15),(16) and (17) should
sa is y he ollowing inequali y
p
2Mmin
i
a g k
i
ðÞ g0ð19Þ
I can be concluded om [32] ha he sys em is uns able as no
all he oo s o he equa ions (15),(16) and (17) sa is y he condi-
ion (19). Hence, we can conclude he exis ence o chao ic oscilla-
ions like i s in ege -o de sys em discussed in [29] when q> 0.97.
Lyapuno exponen s
Wol s algo i hm is used o de i e he Lyapuno exponen s o
he FTT sys em and check he chao ici y o he sys em o di e en
alues o he pa ame e s. Also, he ac ional-o de p edic o –co -
ec o sol e de12 is used ins ead o he o dina y di e en ial
equa ion (ODE) sol e s [33]. The Lyapuno exponen s o he FTT
Fig. 3. The phase po ai s o he FTT sys em in (x-y), (y-z), (z-w) and (w-x) plane when a
1
¼9, a
2
¼0:77, a
3
¼0:07, a
4
¼0:75, a
5
¼0:42, a
6
¼0:0382, a
7
¼3:532,
a
8
¼3:85, a
9
¼10, a
10
¼1, a¼1,b¼0:01, and q¼0:99.
140 H. Lu e al. / Jou nal o Ad anced Resea ch 25 (2020) 137–145
sys em o di e en alues o he ac ional o de qa e shown in
Fig. 4.
Bi u ca ion diag am
To in es iga e he impac o he pa ame e s on he FTT oscilla-
o , we de i ed he bi u ca ion plo s whe e we plo ed he local
maxima o he s a e a iables e sus he con ol pa ame e . We
ha e conside ed a
1
as he bi u ca ion pa ame e and he local max-
ima o xin Fig. 5a. The FTT akes a pe iod-doubling ou e o he
chaos, which is simila ly suppo ed by he Lyapuno exponen s
shown in Fig. 5b. The ac ional o de o he bi u ca ion plo is
aken as q¼0:99;and he o he pa ame e s a e conside ed as used
in Fig. 3. Also, o show he e ec o he pa ame e s a
4
and a
1
, he 2D
Fig. 4. Lyapuno exponen s o he FTT sys em as qinc eases. This ig. shows ha he sys em exhibi s di e en esponses.
Fig. 5. a) The bi u ca ion plo o he FTT e sus he pa ame e a
1
and b) he co esponding LEs.
H. Lu e al. / Jou nal o Ad anced Resea ch 25 (2020) 137–145 141
bi u ca ion diag am o he sys em is plo ed in Fig. 6. This igu e
shows he di e en anges o he pa ame e s which yield s able
equilib ium, s ange a ac o , and unbounded esponses.
Mul is abili y
To s udy he mul is abili y, he o wa d (pa ame e inc eases)
and backwa d (pa ame e dec eases) bi u ca ions a e conside ed.
The ini ial condi ion o each pa ame e is he inal alue o he
ajec o y in he p e ious pa ame e . In Fig. 7, pa ame e a
4
is
he bi u ca ion pa ame e , and he local maxima o he s a e a i-
able ya e plo ed when he ac ional o de equals q¼0:99:Fig. 7a
shows he bi u ca ion o he FTT sys em while he o wa d and
backwa d shown in blue and ed, espec i ely. Fig. 7b shows he
co esponding LEs. We could see he coexis ence o chao ic a ac-
o s o 0:6694 a
4
0:7092, pe iod-8 limi cycles o
0:6568 a
4
0:6664 and pe iod-4 limi cycles o
0:6105 a
4
0:6567:The a ious coexis ing a ac o s o di e -
en alues o he pa ame e a
4
a e shown in Fig. 8.
We use he same o wa d and backwa d con inua ion o check
he mul is abili y and coexis ing a ac o s o he ac ional o de
q. Also, he o he pa ame e s a e conside ed as used o Fig. 3.
We could iden i y he coexis ence o pe iod-2 limi cycles o
0:98 q0:9867, pe iod 4 limi cycles o 0:9868
q0:9883;and chao ic a ac o s o 0:9887 q0:9948 as seen
in Fig. 9.Fig. 10 shows he a ious coexis ing limi cycles and
chao ic a ac o s o di e en alues o he ac ional o de q.
To be e analyze he coexis ing a ac o s o he sys em, he
Basin o a ac ion o he sys em is conside ed in he x-z plane when
y(0) = 0 and w(0) = 0. In Fig. 11, cyan and magen a colo show
unbounded and chao ic esponses o he sys em, espec i ely.
An imono onici y
An imono onici y, a complex beha io in nonlinea sys ems,
means he occu ence o pe iod-doubling and in e se pe iod-
doubling. In he bi u ca ion diag am o hese sys ems, he pe iodic
Fig. 6. 2D bi u ca ion diag am o a
1
and a
4
when he ac ional-o de equals 0.99.
Fig. 7. a) The bi u ca ion plo o he FTT e sus a
4
which o wa d and backwa d a e shown in blue and ed do s, espec i ely. b) The co esponding LEs a e also plo ed.
142 H. Lu e al. / Jou nal o Ad anced Resea ch 25 (2020) 137–145
a ac o s double as pa ame e inc eases and ins an ly joining pe i-
odic a ac o s o m smalle ones, so eme ging an imono onici y.
To examine an imono onici y, he bi u ca ion o he FTT oscilla o
sys em is conside ed as a
4
inc eases while he ac ional-o de
q¼0:99 and pa ame e a
1
has some di e en ixed alues (Fig. 12).
Conclusion
To in es iga e memo y-dependen sys ems and conside his-
o y in he elec onic ci cui , we can use he mem is o elemen .
In his a icle, we showed ha using ac ional-o de mem is o
in an in ege -o de oscilla o ci cui enables he sys em o show
complex beha io s. Fo example, we concluded and showed ha
in some ange o he ac ional o de , q>0:97, he sys em can
show chao ic esponses. Mul is abili y, he exis ence o wo o
mo e a ac o s o a ixed alue o he pa ame e , and an imono-
onici y, he exis ence o pe iod-doubling ou e o chaos and
in e se o i , a e he p ope ies ha his sys em shows in di e en
alue o he pa ame e s. P ecise anges o he pa ame e s a e
de i ed using he bi u ca ion diag am o i s co esponding Lya-
Fig. 9. The bi u ca ion plo o he FTT e sus qwhen o wa d and backwa d con inua ions a e shown in blue and ed, espec i ely, which shows coexis ing a ac o s in his
sys em.
Fig. 10. Va ious coexis ing limi cycles and s ange a ac o s when he ini ial condi ions a e se o 1;0;0;0½(shown in blue) and 1;0;0;0½(shown in ed) o di e en
alues o q.
Fig. 11. Basin o a ac ion o he sys em in he x-z plane when y(0) = 0 and w
(0) = 0. In his igu e, cyan and magen a colo show unbounded and chao ic
esponses.
Fig. 8. Va ious coexis ing limi cycles and chao ic a ac o s when he ini ial condi ions a e 1;0;0;0½(shown in blue) and 1;0;0;0½(shown in ed) o di e en alues o a
4
.
H. Lu e al. / Jou nal o Ad anced Resea ch 25 (2020) 137–145 143
puno exponen s. We also use a 2D bi u ca ion diag am o show
he di e en a ac o s o he sys em as wo di e en con olling
pa ame e s change.
Compliance wi h e hics equi emen s
This a icle does no con ain any s udies wi h human o animal
subjec s
Decla a ion o Compe ing In e es
The au ho s ha e decla ed no con lic o in e es
Acknowledgemen
Resea ch desc ibed in his pape was suppo ed by G an Agency o
Czech Republic h ough p ojec numbe 19-22248S. Fo esea ch,
in as uc u e o he SIX Cen e was used.
Re e ences
[1] Chua L. Mem is o - he missing ci cui elemen . IEEE T ansac ions on ci cui
heo y 1971;18:507–19.
[2] Radwan AG, Fouda ME. On he ma hema ical modeling o mem is o ,
memcapaci o , and meminduc o 2015; ol:26.
[3] Radwan AG, Fouda ME. In: ‘‘Mem is o ma hema ical models and emula o s,”
On he Ma hema ical Modeling o Mem is o , Memcapaci o , and
Meminduc o . Sp inge ; 2015. p. 51–84.
[4] Pe zela J, Go hans T, Guzan M. Cu en -mode ne wo k s uc u es dedica ed
o simula ion o dynamical sys ems wi h plane con inuum o equilib ium.
Jou nal o Ci cui s, Sys ems and Compu e s 2018;27:1830004.
[5] Go hans T, Sp o JC, Pe zela J. Simple chao ic low wi h ci cle and squa e
equilib ium. In J Bi u ca ion Chaos 2016;26:1650137.
[6] Zhang Y, Liu Z, Wu H, Chen S, Bao B. Ex eme mul is abili y in mem is i e
hype -je k sys em and s abili y mechanism analysis using dimensionali y
educ ion model. The Eu opean Physical Jou nal Special Topics
2019;228:1995–2009.
[7] Chen M, Sun M, Bao H, Hu Y, Bao B. Flux-Cha ge Analysis o Two-Mem is o -
Based Chua’s Ci cui : Dimensionali y Dec easing Model o De ec ing Ex eme
Mul is abili y. IEEE T ans Ind Elec on 2019.
[8] Chen M, Feng Y, Bao H, Bao B, Wu H, Xu Q. Hyb id S a e Va iable Inc emen al
In eg al o Recons uc ing Ex eme Mul is abili y in Mem is i e Je k Sys em
wi h Cubic Nonlinea i y. Complexi y 2019;2019.
[9] Bao H, Wang N, Wu H, Song Z, Bao B. Bi-s abili y in an imp o ed mem is o -
based hi d-o de Wien-b idge oscilla o . IETE Technical Re iew
2019;36:109–16.
[10] Bao B, Wu P, Bao H, Wu H, Zhang X, Chen M. Symme ic pe iodic bu s ing
beha io and bi u ca ion mechanism in a hi d-o de mem is i e diode
b idge-based oscilla o . Chaos, Soli ons F ac als 2018;109:146–53.
[11] P. Be sias, C. Psychalinos, and A. S. Elwakil, ‘‘F ac ional-O de Mihalas–Niebu
Neu on Model Implemen a ion Using Cu en -Mi o s,” in 2019 6 h
In e na ional Con e ence on Con ol, Decision and In o ma ion Technologies
(CoDIT), 2019, pp. 872-875.
[12] Allagui A, F eebo n TJ, Elwakil AS, Fouda ME, Maundy BJ, Radwan AG, e al.
Re iew o ac ional-o de elec ical cha ac e iza ion o supe capaci o s. J
Powe Sou ces 2018;400:457–67.
[13] Sema y MS, Fouda ME, Hassan HN, Radwan AG. Realiza ion o ac ional-o de
capaci o based on passi e symme ic ne wo k. J Ad Res 2019;18:147–59.
[14] Hamed EM, Fouda ME, Alha bi AG, Radwan AG. Expe imen al e i ica ion o
iple lobes gene a ion in ac ional mem is i e ci cui s. IEEE Access
2018;6:75169–80.
[15] Peng D, Sun K, He S, Zhang L, Alamodi AO. Nume ical analysis o a simples
ac ional-o de hype chao ic sys em. Theo Appl Mech Le 2019;9:220–8.
[16] Peng Y, Sun K, Peng D, Ai W. Dynamics o a highe dimensional ac ional-
o de chao ic map. Physica A 2019;525:96–107.
[17] Be sias P, Psychalinos C, Maundy BJ, Elwakil AS, Radwan AG. Pa ial ac ion
expansion–based ealiza ions o ac ional-o de di e en ia o s and
in eg a o s using ac i e il e s. In J Ci cui Theo y Appl 2019;47:513–31.
[18] He S, Sun K, Peng Y. De ec ing chaos in ac ional-o de nonlinea sys ems
using he smalle alignmen index. Phys Le A 2019;383:2267–71.
[19] Y. Yu, M. Shi, H. Kang, M. Chen, and B. Bao, ‘‘Hidden dynamics in a ac ional-
o de mem is i e Hindma sh–Rose model,” Nonlinea Dynamics, pp. 1-16,
2020.
[20] A. T. Mohamed, M. F. Mahmoud, L. A. Said, and A. G. Radwan, ‘‘Design o FOPID
Con olle o a DC Mo o Using App oxima ion Techniques,” in: 2019 No el
In elligen and Leading Eme ging Sciences Con e ence (NILES), 2019, pp. 142-
145.
[21] Tolba MF, AboAlNaga BM, Said LA, Madian AH, Radwan AG. F ac ional o de
in eg a o /di e en ia o : FPGA implemen a ion and FOPID con olle
applica ion. AEU-In e na ional Jou nal o Elec onics and Communica ions
2019;98:220–9.
[22] Radwan AG, Fouda ME. Op imiza ion o ac ional-o de RLC il e s. Ci cui s,
Sys ems, and Signal P ocessing 2013;32:2097–118.
[23] Fouda ME, Radwan AG. F ac ional-o de mem is o esponse unde dc and
pe iodic signals. Ci cui s, Sys ems, and Signal P ocessing 2015;34:961–70.
[24] Fouda M, Radwan A. On he ac ional-o de mem is o model. Jou nal o
F ac ional calculus and applica ions 2013;4:1–7.
[25] Si G, Diao L, Zhu J. F ac ional-o de cha ge-con olled mem is o : heo e ical
analysis and simula ion. Nonlinea Dyn 2017;87:2625–34.
[26] Rashad SH, Hamed EM, Fouda ME, AbdelA y AM, Said LA, Radwan AG. On he
analysis o cu en -con olled ac ional-o de mem is o emula o . In: in
2017 6 h In e na ional Con e ence on Mode n Ci cui s and Sys ems
Technologies (MOCAST). p. 1–4.
[27] Yu Y, Wang Z. Ini ial s a e dependen nonsmoo h bi u ca ions in a ac ional-
o de mem is i e ci cui . In J Bi u ca ion Chaos 2018;28:1850091.
Fig. 12. Bi u ca ion o he FTT oscilla o wi h a
4
o q¼0:99 and di e en ixed alues o a
1
which claims exis ence o an imono onici y in his sys em.
144 H. Lu e al. / Jou nal o Ad anced Resea ch 25 (2020) 137–145
[28] Wol A, Swi JB, Swinney HL, Vas ano JA. De e mining Lyapuno exponen s
om a ime se ies. Physica D 1985;16:285–317.
[29] Zhou L, Wang C, Zhang X, Yao W. Va ious A ac o s, Coexis ing A ac o s and
An imono onici y in a Simple Fou h-O de Mem is i e Twin-T Oscilla o . In J
Bi u ca ion Chaos 2018;28:1850050.
[30] Muñiz-Mon e o C, Ga cía-Jiménez LV, Sánchez-Gaspa iano LA, Sánchez-López
C, González-Díaz VR, Tlelo-Cuau le E. New al e na i es o analog
implemen a ion o ac ional-o de in eg a o s, di e en ia o s and PID
con olle s based on in ege -o de in eg a o s. Nonlinea Dyn 2017;90:241–56.
[31] Die helm K, F eed AD. The F acPECE sub ou ine o he nume ical solu ion o
di e en ial equa ions o ac ional o de . Fo schung und wissenscha liches
Rechnen 1998;1999:57–71.
[32] Deng W, Li C, Lü J. S abili y analysis o linea ac ional di e en ial sys em wi h
mul iple ime delays. Nonlinea Dyn 2007;48:409–16.
[33] R. Ga appa, ‘‘P edic o -co ec o PECE me hod o ac ional di e en ial
equa ions,” MATLAB Cen al File Exchange [File ID: 32918], 2011.
H. Lu e al. / Jou nal o Ad anced Resea ch 25 (2020) 137–145 145