Abstract
This article discusses the utilisation of a Chua oscillator with a memristor to produce chaos with minimal nonlinearity. The memristor, a device that changes its flux or charges over time, has its nonlinear strength altered fractionally to determine the lowest-order memristor nonlinearity for generating chaos. An experimental analog circuit in real-time has been constructed. A linear parameter varying (LPV) approach, incorporating a suitable Lyapunov functional (LK) method, has been introduced to find new sufficient conditions for the robust stability of the resulting closed-loop system through linear matrix inequalities (LMIs). By observing the behaviour of the system without control, it is possible to understand the basic characteristics of chaotic oscillations and how they are affected by changes in the fractional order. These results can then be used as a starting point to study the effectiveness of various control techniques, such as feedback control, in reducing chaos and stabilising the system of this article. The efficiency of the cost-function-based control scheme is evaluated using the simulation results and relevant applications are addressed.
Similar content being viewed by others
References
D B Strukov, G S Snider, D R Stewart and R S Williams, Nature 453, 80 (2008)
R Kozma, R E Pino and G E Pazienza, IEEE Access 4, (2012)
A Adamatzky and L Chua, Memristor networks (Springer Science & Business Media, 2013)
H Xi and R Zhang, Chin. J. Phys. 77, 572 (2022)
P K Sharma, R K Ranjan, F Khateb and M Kumngern, IEEE Access 08, 171397 (2020)
Y Chen, Q Cao, Z Zhu, Z Wang and Z Zhao, IEEE Access 9, 44402 (2021)
L Chua, IEEE Trans. Circuit Theory 18, 507 (1971)
R Stanley Williams, How we found the missing memristor, in: Chaos, CNN, memristors and beyond (World Scientific, 2013) pp. 483–489
R Tetzlaff, Memristors and memristive systems (Springer, 2013)
C Li, M Wei and J Yu, Int. Conference on Communications, Circuits and Systems (2009) p. 944
B Muthuswamy, Int. J. Bifurc. Chaos 20, 1335 (2010)
V T Pham, S Jafari, S Vaidyanathan, C Volos and X Wang, Sci. China Technol. Sci. 59, 358 (2016)
S Sabarathinam, A Prasad, AIP Conf. Proc. 1942(1), 060025 (2018)
S Sabarathinam and K Thamilmaran, AIP Conf. Proc. 1832(1), 060007 (2017)
I E Ebong and P Mazumder, IEEE Trans. Nanotechnol. 10, 1454 (2011)
M A Zidan, H A H Fahmy, M M Hussain and K N Salama, Microelectron. J. 44, 176 (2013)
R Jothimurugan, S Sabarathinam, K Suresh and K Thamilmaran, Advances in memristors, memristive devices and systems (Springer, 2017) pp. 343–370
N Gunasekaran, S Srinivasan, G Zhai and Q Yu, IEEE Access 9, 25648 (2021)
V Varshney, S Sabarathinam, K Thamilmaran, M D Shrimali and A Prasad, Nonlinear dynamical systems with self-excited and hidden attractors (Springer, 2021) pp. 327–344
Y Cao, W Jiang and J Wang, Knowl.-Based Syst. 233, 107539 (2021)
I Petráš, Fractional-order systems, in: Fractional-order nonlinear systems (Springer Science & Business Media, 2011) pp. 43–54
J Sabatier, O P Agrawal and J A T Machado, Advances in fractional calculus, in: Theoretical developments and applications in physics and engineering (Springer, 2007) Vol. 4
D Baleanu, J Machado and A CJ Luo, Fractional dynamics and control (Springer Science & Business Media, 2011)
R L Magin, Crit. Rev. Biomed. Eng. 32, 195 (2004)
V T Mai and C H Dinh, J. Syst. Sci. Complex. 32, 1479 (2019)
W Ahmad, R El-Khazali and A S Elwakil, Electron. Lett. 37, 1110 (2001)
D-Y Xue and C-N Zhao, IET Control. Theory Appl. 5, 771 (2007)
I Podlubny, IEEE Trans. Autom. Control 44, 208 (1999)
H-B Bao and J Cao, Neural Netw. 63, 1 (2015)
Y Gu, Hu Wang and Y Yu, J. Franklin Inst. 357, 8870 (2020)
J Palanivel, K Suresh, S Sabarathinam and K Thamilmaran, Chaos Solitons Fractals 95, 33 (2017)
I Grigorenko and E Grigorenko, Phys. Rev. Lett. 91, 034101 (2003)
CA Monje, B M Vinagre, V Feliu and Y Chen, Control Eng. Pract. 16, 798 (2008)
K Xu, L Chen, M Wang, A M Lopes, M JA Tenreiro and H Zhai, Mathematics 8, 326 (2020)
L Chen, T Li, R Wu, A M Lopes, J A T Machado and K Wu, Comput. Appl. 39, 1 (2020)
M V Thuan, T N Binh and D C Huong, Asian J. 22, 696 (2020)
L Chen, R Wu, L Yuan, L Yin, Y Q Chen and S Xu, Optim. Control Appl. Meth. 42, 1102 (2021)
Vc N Phat, M V Thuan and T N Tuan, Vietnam J. Math. 47, 403 (2019)
L Liu, Y Di, Y Shang, Z Fu and B Fan, Circuits Syst. Signal Process. 1 (2021)
D C Huong, Circuits Syst. Signal Process. 40, 4759 (2021)
M V Thuan and D C Huong, Optim. Control Appl. Methods 40, 613 (2019)
H-B Bao and J-D Cao, Neural Netw. 63, 1 (2015)
L Chen, R Wu, J Cao and J-B Liu, Neural Netw. 71, 37 (2015)
G Velmurugan, R Rakkiyappan and J Cao, Neural Netw. 73, 36 (2016)
R Scherer, S L Kalla, Y Tang and J Huang, Comput. Math. Appl. 62, 902 (2011)
N Heymans and I Podlubny, Rheol. Acta 45, 765 (2006)
Y Luchko and R Gorenflo, Frac. Calc. Appl. Anal. 1, 63 (1998)
W M Ahmad and J C Sprott, Chaos Solitons Fractals 16, 339 (2003)
BM Vinagre, I Podlubny, A Hernandez and V Feliu, Fract. Calc. Appl. 3, 231 (2000)
Z-M Ge and C-Y Ou, Chaos Solitons Fractals 34, 262 (2007)
S Sabarathinam and A Prasad, AIP Conf. Proc.1942, 060025 (2018)
I Podlubny, Fractional differential equations – An introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications (Elsevier Academic Press, 1998)
M A Duarte-Mermoud, N Aguila-Camacho, J A Gallegos and R Castro-Linares, Commun. Nonlinear Sci. Numer. Simul. 22, 650 (2015)
Y Wen, X-F Zhou, Z Zhang and S Liu, Nonlinear Dyn. 82, 1015 (2015)
R Vadivel, R Suresh, P Hammachukiattikul, B Unyong and N Gunasekaran, IEEE Access 9, 145133 (2021)
R Anbuvithya, S S Dheepika, R Vadivel, N Gunasekaran and P Hammachukiattikul, IEEE Access 9, 31454 (2021)
R Vadivel, M S Ali and F Alzahrani, Chin. J. Phys. 60, 68 (2019)
M Syed Ali, R Vadivel and K Murugan, Chin. J. Phys. 56, 2448 (2018)
D C Huong, Optimal control applications and methods (Wiley Online Library, 2022)
Acknowledgements
SS and VP acknowledges the Basic Research Program of the National Research University, Higher School of Economics, Moscow. RV acknowledges the Thailand Science Research and Innovation (TSRI) Grant Fund No. 64A146000001.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Sabarathinam, S., Papov, V., Wang, ZP. et al. Dynamics analysis and fractional-order nonlinearity system via memristor-based Chua oscillator. Pramana - J Phys 97, 107 (2023). https://doi.org/10.1007/s12043-023-02590-5
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12043-023-02590-5
Keywords
- Memristor emulator
- fractional-order system
- memristor
- linear parameter varying model
- linear matrix inequality