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Ponomarenko Vladimir Ivanovich

Publications in Math-Net.Ru

  1. Influence of coupling topology and noise on the possibility of frequency tuning in ensembles of FitzHugh–Nagumo oscillators

    Izvestiya VUZ. Applied Nonlinear Dynamics, 33:2 (2025),  266–282
  2. Reconstruction of self-oscillating systems with delay time modulation

    Izvestiya VUZ. Applied Nonlinear Dynamics, 33:1 (2025),  27–37
  3. Collective dynamics of ensembles of radio engineering models of FitzHugh–Nagumo oscillators coupled via a hub

    Izv. Sarat. Univ. Physics, 24:4 (2024),  429–441
  4. Hardware-software complex for diagnostics of a human psychophysiological state during the solving of cognitive tasks

    Izv. Sarat. Univ. Physics, 24:1 (2024),  19–29
  5. Synchronisation of the ensemble of nonidentical FitzHugh-Nagumo oscillators with memristive couplings

    Izvestiya VUZ. Applied Nonlinear Dynamics, 32:1 (2024),  96–110
  6. Laminar chaos in an experimental system with quasiperiodic modulation of the delay time

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 50:11 (2024),  34–37
  7. Mathematical model of the photoplethysmogram for testing methods of biological signals analysis

    Izvestiya VUZ. Applied Nonlinear Dynamics, 31:5 (2023),  586–596
  8. Ring generator of neuron-like activity with tunable frequency

    Izvestiya VUZ. Applied Nonlinear Dynamics, 31:1 (2023),  103–120
  9. Control of collective dynamics in multiplex networks of bistable time-delayed feedback oscillators with switched couplings

    Izv. Sarat. Univ. Physics, 22:4 (2022),  310–319
  10. Estimation of impulse action parameters using a network of neuronlike oscillators

    Izvestiya VUZ. Applied Nonlinear Dynamics, 30:4 (2022),  495–512
  11. Adaptive control of non-synchronous oscillations in a network of identical electronic neuron-like generators

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 48:19 (2022),  43–46
  12. Laminar chaos in coupled time-delay systems

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 48:4 (2022),  11–14
  13. The method for diagnostics of the phase synchronization of the vegetative control of blood circulation in real time

    Izv. Sarat. Univ. Physics, 21:3 (2021),  213–221
  14. Development of a digital finger photoplethysmogram sensor

    Izv. Sarat. Univ. Physics, 21:1 (2021),  58–68
  15. Common mechanisms of attractorless oscillatory regimes in radioengineering models of brain thalamocortical network

    Izvestiya VUZ. Applied Nonlinear Dynamics, 29:6 (2021),  927–942
  16. Increasing the sensitivity of real-time method for diagnostic of autogenerators phase synchronization based on their non-stationary time series

    Izvestiya VUZ. Applied Nonlinear Dynamics, 29:6 (2021),  892–904
  17. Experimental studies of chaotic dynamics near the theorist

    Izvestiya VUZ. Applied Nonlinear Dynamics, 29:1 (2021),  88–135
  18. Simulation of epileptiform activity using network of neuron-like radio technical oscillators

    Zhurnal Tekhnicheskoi Fiziki, 91:3 (2021),  519–528
  19. Assessment of an external periodic force amplitude using a small spike neuron network in a radiophysical experiment

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 47:4 (2021),  7–10
  20. Cloning of chimera states in a two-layer network of bistable time-delayed feedback oscillators

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 47:2 (2021),  32–35
  21. Communication systems with correlation receiver based on generators with dynamical chaos

    Izv. Sarat. Univ. Physics, 20:3 (2020),  202–209
  22. Reconstructing the neuron-like oscillator equations modeled by a phase-locked system with delay from scalar time series

    Izvestiya VUZ. Applied Nonlinear Dynamics, 28:4 (2020),  397–413
  23. Neural-like dynamics in a phase-locked loop system with delayed feedback

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 46:14 (2020),  36–38
  24. Laminar chaos in a delayed-feedback generator

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 46:9 (2020),  16–19
  25. A new approach to the experimental study of large ensembles of radioengineering oscillators with complex couplings

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 46:4 (2020),  26–29
  26. Control of collective dynamics in a network of bistable time-delay systems coupled via the mean field

    Izv. Sarat. Univ. Physics, 19:4 (2019),  258–269
  27. Reconstruction of model equations of networks of oscillators with delay in node dynamics and couplings between them: Review

    Izvestiya VUZ. Applied Nonlinear Dynamics, 27:4 (2019),  13–51
  28. Method for information transmission using a predictive model in coupled time-delay systems

    Izv. Sarat. Univ. Physics, 18:2 (2018),  84–91
  29. Influence of inertial properties and delay of the mean field on the collective dynamics of globally coupled bistable delayed-feedback oscillators

    Izvestiya VUZ. Applied Nonlinear Dynamics, 26:1 (2018),  4–20
  30. Estimation of synchronization of contours of vegetative regulation of circulation from long time records

    Nelin. Dinam., 14:1 (2018),  3–12
  31. Reconstruction of ensembles of oscillators with nonlinear time-delay feedbacks

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 44:22 (2018),  57–64
  32. An experimental study of synchronization of nonidentical neuronlike oscillators with an adaptive delayed coupling

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 44:17 (2018),  11–18
  33. Reconstruction of unidirectionally coupled time-delayed systems of first order from time series of the driven system

    Izvestiya VUZ. Applied Nonlinear Dynamics, 25:1 (2017),  84–93
  34. Phase synchronization of elements of autonomic control in mathematical model of cardiovascular system

    Nelin. Dinam., 13:3 (2017),  381–397
  35. Collective dynamics of identical bistable self-sustained oscillators with delayed feedback coupled via a mean field

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 43:6 (2017),  64–71
  36. Investigation of delay time in interaction between the regulatory circuits in the cardiovascular system of healthy humans using modeling of phase dynamics

    Izv. Sarat. Univ. Physics, 16:4 (2016),  227–237
  37. Recovery of models of time-delay systems from short experimental time series

    Izv. Sarat. Univ. Physics, 16:1 (2016),  17–24
  38. Reconstruction of coupling architecture and parameters of time-delayed oscillators in ensembles from time series

    Izvestiya VUZ. Applied Nonlinear Dynamics, 24:3 (2016),  21–37
  39. Noise-resistant system of concealed information transfer on a chaotic delayed feedback oscillator with switchable delay time

    Zhurnal Tekhnicheskoi Fiziki, 86:5 (2016),  1–8
  40. Reconstruction of the coupling matrix in the ensemble of identical neuron-like oscillators with time delay in coupling

    Nelin. Dinam., 12:4 (2016),  567–576
  41. Determination of the delay time and feedback strength of a semiconductor laser with optical feedback from time series of radiation intensity

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 42:3 (2016),  68–75
  42. Determination of the coupling architecture and parameters of elements in ensembles of time-delay systems

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 42:1 (2016),  95–102
  43. Comparison of methods for phase synchronization diagnostics from test data modeling nonstationary signals of biological nature

    Izv. Sarat. Univ. Physics, 15:3 (2015),  36–42
  44. Model of cardiovascular system autonomic regulation with a circuit of baroreflectory control of mean arterial pressure in the form of delayed-feedback oscillator

    Izv. Sarat. Univ. Physics, 15:2 (2015),  32–38
  45. Method for generalized synchronization detecting and its application to communication systems

    Izvestiya VUZ. Applied Nonlinear Dynamics, 23:6 (2015),  4–15
  46. Using Arduino platform in the measurements and the physical experiment

    Izvestiya VUZ. Applied Nonlinear Dynamics, 22:4 (2014),  77–90
  47. Delay time estimation from time series based on nearest neighbor method

    Izvestiya VUZ. Applied Nonlinear Dynamics, 22:1 (2014),  3–15
  48. Reconstruction of time-delay systems under external periodic driving

    Nelin. Dinam., 9:4 (2013),  613–626
  49. Method of timedelay systems recovery from time series with known type of model equation

    Izv. Sarat. Univ. Physics, 11:2 (2011),  72–78
  50. Modeling nonlinear oscillatory systems and diagnostics of coupling between them using chaotic time series analysis: applications in neurophysiology

    UFN, 178:3 (2008),  323–329
  51. Complex dynamics of a radiotechnical model-analogue of the vacuum microtriode oscillator

    Dokl. Akad. Nauk, 337:5 (1994),  602–604


© Steklov Math. Inst. of RAS, 2025