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Fracmemristor chaotic oscillator with multistable and antimonotonicity properties

Lu, Haikong; Petržela, Jiří; Götthans, Tomáš; Rajagopal, Karthikeyan; Sajad, Jafari; Hussain, Iqtadar

Abstract

Memristor is a non-linear circuit element in which voltage-current relationship is determined by the previous values of the voltage and current, generally the history of the circuit. The nonlinearity in this component can be considered as a fractional-order form, which yields a fractional memristor (fracmemristor). In this paper, a fractional-order memristor in a chaotic oscillator is applied, while the other electronic elements are of integer order. The fractional-order range is determined in a way that the circuit has chaotic solutions. Also, the statistical and dynamical features of this circuit are analyzed. Tools like Lyapunov exponents and bifurcation diagram show the existence of multistability and antimonotonicity, two less common properties in chaotic circuits.

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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 1q 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 VgV gV 2 / ðÞ R / ¼ 1 R / 1g 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 / 1g 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 n1 k¼0 x k 0 k k!þ1 C qðÞ Z 0 s ;xðÞ  s ðÞ 1q d s ð5Þ which can be disc e ized as x h nþ1 ðÞ¼ X n1 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 nqðÞðnþ1Þ qþ1 ;j¼0 2njþ1ðÞ qþ1 ;1jn 1;j¼nþ1 8 > < > : x p h nþ1 ðÞ¼ P n1 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 njþ1ðÞ q njðÞ q  ð7Þ The es ima ed e o is e¼Max x i ðÞx 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 nqðÞðnþ1Þ qþ1 ;j¼0 njþ2ðÞ qþ1 þnjðÞ qþ1 2njþ1ðÞ qþ1 ;1jn 1;j¼nþ1 8 > < > : x l;j;nþ1 ¼ h q q njþ1ðÞ q njðÞ q  ;0jn  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 ¼0:77, a 3 ¼0:07, a 4 ¼0:75, a 5 ¼0:42, a 6 ¼0:0382, a 7 ¼3:532, a 8 ¼3:85, a 9 ¼10, a 10 ¼1, a ¼1,b¼0:01 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 ÞJ 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 2Mmin i a g k i ðÞ g0ð19Þ 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 ¼0:77, a 3 ¼0:07, a 4 ¼0:75, a 5 ¼0:42, a 6 ¼0:0382, a 7 ¼3:532, a 8 ¼3:85, a 9 ¼10, a 10 ¼1, a¼1,b¼0:01, 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 q0:9867, pe iod 4 limi cycles o 0:9868  q0:9883;and chao ic a ac o s o 0:9887 q0:9948 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. 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