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Tytuł artykułu

Bifurcation analysis, circuit design and sliding mode control of a new multistable chaotic population model with one prey and two predators

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this work, we report a new chaotic population biology system with one prey and two predators. Our new chaotic population model is derived by introducing two nonlinear interaction terms between the prey and predator-2 to the Samardzija-Greller population biology system (1988). We show that the new chaotic population biology system has a greater value of Maximal Lyapunov Exponent (MLE) than the Maximal Lyapunov Exponent (MLE) of the Samardzija-Greller population biology system (1988). We carry out a detailed bifurcation analysis of the new chaotic population biology system with one prey and two predators. We also show that the new chaotic population biology model exhibits multistability with coexisting chaotic attractors. Next, we use the integral sliding mode control (ISMC) for the complete synchronization of the new chaotic population biology system with itself, taken as the master and slave chaotic population biology systems. Finally, for practical use of the new chaotic population biology system, we design an electronic circuit design using Multisim (Version 14.0).
Rocznik
Strony
127--153
Opis fizyczny
Bibliogr. 25 poz., rys., tab., wzory
Twórcy
  • Centre for Control Systems, Vel Tech University, 400 Feet Outer Ring Road, Avadi, Chennai-600092, Tamil Nadu, India
  • Non Destructive Testing Laboratory, Automatic Department, Jijel University, BP 98, 18000, Jijel, Algeria
autor
  • Department of Mechanical Engineering, Universitas Muhammadiyah Tasikmalaya, Tasikmalaya 46196, West Java, Indonesia
autor
  • Department of Computer Science and Engineering, Rajalakshmi Institute of Technology, Kuthambakkam, Chennai-600 124, Tamil Nadu, India
Bibliografia
  • [1] L. Liu and J. Wang: A cluster of 1D quadratic chaotic map and its applications in image encryption. Mathematics and Computers in Simulation, 204 (2023), 89-114. DOI: 10.1016/j.matcom.2022.07.030.
  • [2] K. Cao and Q. Lai: A simple memristive chaotic system with complex dynamics and ITS image encryption application. International Journal of Modern Physics B, 36(21), (2022). DOI: 10.1142/S0217979222501314.
  • [3] C. Xiu, J. Fang, and X. Ma: Design and circuit implementations of multimemristive hyperchaotic system. Chaos, Solitions and Fractals, 161 (2022). DOI: 10.1016/j.chaos.2022.112409.
  • [4] Y. Wang, H. Li, Y. Guan, and M. Chen: Predefined-time chaos synchronization of memristor chaotic systems by using simplified control inputs. Chaos, Solitions and Fractals, 161 (2022). DOI: 10.1016/j.chaos.2022.112282.
  • [5] N. Abbassi, M. Gafsi, R. Amdouni, M.A. Hajjaji and A. Mtibaa: Hardware implementation of a robust image cryptosystem using reversible cellular-automata rules and 3-D chaotic systems. Integration, 87 (2022), 49-66. DOI: 10.1016/j.vlsi.2022.06.007.
  • [6] L. Minati, J. Bartels, C. Li, M. Frasca, and H. Ito: Synchronization phenomena in dual-transistor spiking oscillators realized experimentally towards physical reservoirs. Chaos, Solitions and Fractals, 162 (2022). DOI: 10.1016/j.chaos.2022.112415.
  • [7] I. Mishra, S. Jain, and V. Maik: Secured ECG signal transmission using optimized EGC with chaotic neural network in WBSN. Computer Systems Science and Engineering, 44(2), (2022), 1109-1123. DOI: 10.32604/csse.2023.025999.
  • [8] P. Tao, J. Cheng, and L. Chen: Brain-inspired chaotic backpropagation for MLP. Neural Networks, 155 (2022), 1-13. DOI: 10.1016/j.neunet.2022.08.004.
  • [9] G. Arthi, V. Thanikaiselvan and R. Amirtharajan: 4D hyperchaotic map and DNA encoding combined image encryption for secure communication. Multimedia Tools and Applications, 81(11), (2022), 15859-15878. DOI: 10.1007/s11042-022-12598-5.
  • [10] P. Ramadevi, T. Jayashankar, V. Dinesh, and M. Dhamodaran: Chaotic sandpiper optimization based virtual machine scheduling for cyber-physical systems. Computer Systems Science and Engineering, 44(2), (2022), 1373-1385. DOI: 10.32604/csse.2023.026603.
  • [11] A.J. Lotka: Elements of Physical Biology. Williams and Wilkins, Philadelpha, USA, 1925.
  • [12] V. Volterra: Variazioni e fluttuazioni del numero d’individui in specie animali conviventi. Memoria della Reale Accademia Nazionale dei Lincei, 2 (1926), 31-113.
  • [13] N. Samardzija and L.D. Greller: Explosive route to chaos through a fractal torus in a generalized Lotka-Volterra model. Bulletin of Mathematical Biology, 50(5), (1988), 465-491.
  • [14] S.K. Agrawal, M. Srivastava, and S. Das: Synchronization between fractional-order Ravinovich-Fabrikant and Lotka-Volterra systems. Nonlinear Dynamics, 69 (2012), 2277-2288. DOI: 10.1007/s11071-012-0426-y.
  • [15] M.F. Danca and G. Chen: Bifurcation and chaos in a complex model of dissipative medium. International Journal of Birucation and Chaos, 14(10), (2004), 3409-3447. DOI: 10.1142/S0218127404011430.
  • [16] U.E. Kocamaz, A. Goksu, H. Taskin, and Y. Uyaroglu: Control of chaotic two-predator one-prey model with single state control signals. Journal of Intelligent Manufacturing, 32 (2021), 1563-1572. DOI: 10.1007/s10845-020-01676-w.
  • [17] J. Xing, Z. Yang, and Y. Ren: Analysis of bifurcation and chaotic behavior for the flexspline of an electromagnetic harmonic drive system with movable teeth transmission. Applied Mathematical Modelling, 112 (2022), 467-485. DOI: 10.1016/j.apm.2022.07.007.
  • [18] H. Zhou and L. Yang: Dynamical analysis arising from the Willamowski-Rössler model. Journal of Mathematical Analysis and Applications, 514(2), (2022), DOI: 10.1016/j.jmaa.2022.126281.
  • [19] S. Contreras-Celada, M.G. Cleric, S. Coulibaly, R.G. Rojas, and A.O. Leon: Voltage-driven multistability and chaos in magnetic films. Journal of Magnetism and Magnetic Materials, 562 (2022). DOI: 10.1016/j.jmmm.2022.169793.
  • [20] Z. Wang, F. Parastesh, H. Tian, and S. Jafari: Symmetric synchronization behavior of multistable chaotic systems and circuits in attractive and repulsive couplings. Integration, 89 (2023), 37-46. DOI: 10.1016/j.vlsi.2022.11.007.
  • [21] S. Vaidyanathan, A.T. Azar, A. Akgul, C.H. Lien, S. Kacar, and U. Cavusoglu: A memristor-based system with hidden hyperchaotic attractors, its circuit design, synchronisation via integral sliding mode control and an application to voice encryption. International Journal of Automation and Control, 13(6), (2019), 644-667. DOI: 10.1504/IJAAC.2019.102665.
  • [22] S. Vaidyanathan, L.G. Dolvis, K. Jacques, C.H. Lien, and A. Sambas: A new five-dimensional four-wing hyperchaotic system with hidden attractor, its electronic circuit realisation and synchronisation via integral sliding mode control. International Journal of Modelling, Identification and Control, 32(1), (2019), 30-45. DOI: 10.1504/IJMIC.2019.101959.
  • [23] S. Vaidyanathan and A. Rhif: A novel four-leaf chaotic system, its control and synchronisation via integral sliding mode control. International Journal of Modelling, Identification and Control, 28(1), (2019), 28-39. DOI: 10.1504/IJMIC.2017.085295.
  • [24] K. Karawanich and P. Prommee: High-complex chaotic system based on new nonlinear function and OTA-based circuit realization. Chaos, Solitons and Fractals, 162 (2022). DOI: 10.1016/j.chaos.2022.112536.
  • [25] Q. Guo, N. Wang, and G. Zhang: A novel four-element RCLM hyper-chaotic circuit based on current-controlled extended memristor. AEU - International Journal of Electronics and Communications, 156 (2022). DOI: 10.1155/2021/5582774.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-17073bb4-7943-44c7-8f46-61e654f3e67a
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