Prof. Dr. SABRİ ARIK

Ketencigil M. M., Faydasıçok Ö., Arik S.

Neural Networks , cilt.180, 2024 (SCI-Expanded, Scopus)

2. Sampled-data control for Markovian switching neural networks with output quantization and packet dropouts

Chen Y., Zhang X., Yan Z., FAYDASIÇOK Ö., ARIK S.

Journal of the Franklin Institute , cilt.361, sa.18, 2024 (SCI-Expanded, Scopus)

3. Non-fragile output-feedback control for time-delay neural networks with persistent dwell time switching: A system mode and time scheduler dual-dependent design

Zhou J., Ma X., Yan Z., ARIK S.

Neural Networks , cilt.169, ss.733-743, 2024 (SCI-Expanded, Scopus)

4. Robust stability of dynamical neural networks with multiple time delays: a review and new results

Aktas E., FAYDASIÇOK Ö., ARIK S.

Artificial Intelligence Review , cilt.56, ss.1647-1684, 2023 (SCI-Expanded, Scopus)

5. A general framework for robust stability analysis of neural networks with discrete time delays

Solak M., Faydasicok O., Arik S.

Neural Networks , cilt.162, ss.186-198, 2023 (SCI-Expanded, Scopus)

6. Asynchronous dissipative stabilization for stochastic Markov-switching neural networks with completely- and incompletely-known transition rates

Tai W., Li X., Zhou J., Arik S.

NEURAL NETWORKS , cilt.161, ss.55-64, 2023 (SCI-Expanded, Scopus)

7. Disturbance-term-based switching event-triggered synchronization control of chaotic Lurie systems subject to a joint performance guarantee

Wu W., He L., Zhou J., Xuan Z., Arik S.

COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION , cilt.115, ss.1-10, 2022 (SCI-Expanded, Scopus)

8. NOVEL CRITERIA FOR ROBUST STABILITY OF COHEN-GROSSBERG NEURAL NETWORKS WITH MULTIPLE TIME DELAYS

DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S , cilt.15, ss.3189-3203, 2022 (SCI-Expanded, Scopus)

9. A novel Lyapunov stability analysis of neutral-type Cohen–Grossberg neural networks with multiple delays

NEURAL NETWORKS , cilt.155, ss.330-339, 2022 (SCI-Expanded, Scopus)

10. Finite-time and sampled-data synchronization of complex dynamical networks subject to average dwell-time switching signal

Gunasekaran N., Ali M. S., ARIK S., Ghaffar H. I. A., Diab A. A. Z.

NEURAL NETWORKS , cilt.149, ss.137-145, 2022 (SCI-Expanded, Scopus)

11. A NOVEL LYAPUNOV FUNCTIONAL WITH APPLICATION TO STABILITY ANALYSIS OF NEUTRAL SYSTEMS WITH NONLINEAR DISTURBANCES

Senan S., Yucel E., Orman Z., Samli R., Arik S.

DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S , cilt.14, sa.4, ss.1415-1428, 2021 (SCI-Expanded, Scopus)

12. Finite-time H-infinity synchronization of semi-Markov jump Lur'e systems

Huang X., Zhou Y., Fang M., Zhou J., ARIK S.

MODERN PHYSICS LETTERS B , cilt.35, sa.10, 2021 (SCI-Expanded, Scopus)

13. Leader-Following Consensus of Non-linear Multi-agent Systems with Interval Time-Varying Delay via Impulsive Control

Ali M. S., Agalya R., Orman Z., Arık S.

NEURAL PROCESSING LETTERS , cilt.53, sa.1, ss.69-83, 2021 (SCI-Expanded, Scopus)

14. Controller design for finite-time and fixed-time stabilization of fractional-order memristive complex-valued BAM neural networks with uncertain parameters and time-varying delays

Arslan E., Narayanan G., Ali M. S., Arik S., Saroha S.

NEURAL NETWORKS , cilt.130, ss.60-74, 2020 (SCI-Expanded, Scopus)

15. New Criteria for Stability of Neutral-Type Neural Networks With Multiple Time Delays

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS , cilt.31, sa.5, ss.1504-1513, 2020 (SCI-Expanded, Scopus)

16. Resilient fault-tolerant anti-synchronization for stochastic delayed reaction-diffusion neural networks with semi-Markov jump parameters

Zhou J., Liu Y., Xia J., Wang Z., Arik S.

NEURAL NETWORKS , cilt.125, ss.194-204, 2020 (SCI-Expanded, Scopus)

17. Finite Time Stability Analysis of Fractional-Order Complex-Valued Memristive Neural Networks with Proportional Delays

Ali M. S., Narayanan G., Orman Z., Shekher V., Arik S.

NEURAL PROCESSING LETTERS , cilt.51, sa.1, ss.407-426, 2020 (SCI-Expanded, Scopus)

18. Global stability analysis of fractional-order fuzzy BAM neural networks with time delay and impulsive effects

Alı M. S., Narayanan G., Sevgen S., Shekher V., Arik S.

COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION , cilt.78, 2019 (SCI-Expanded, Scopus)

19. Global asymptotic synchronization of impulsive fractional-order complex-valued memristor-based neural networks with time varying delays

ALI M. S., HYMAVATHI M., Senan S., SHEKHER V., Arik S.

COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION , cilt.78, 2019 (SCI-Expanded, Scopus)

20. Improved result on state estimation for complex dynamical networks with time varying delays and stochastic sampling via sampled-data control

ALI M. S., USHA M., Orman Z., Arik S.

NEURAL NETWORKS , cilt.114, ss.28-37, 2019 (SCI-Expanded, Scopus)

21. A modified Lyapunov functional with application to stability of neutral-type neural networks with time delays

IANTOVICS L. B., Emmert-Streib F., Arik S.

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS , cilt.356, sa.1, ss.276-291, 2019 (SCI-Expanded, Scopus)

22. Robust synchronization of uncertain Markovian jump complex dynamical networks with time-varying delays and reaction-diffusion terms via sampled-data control

Ozcan N., Ali M. S., Yogambigai J., Zhu Q., Arik S.

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS , cilt.355, sa.3, ss.1192-1216, 2018 (SCI-Expanded, Scopus)

23. MetrIntMeas a novel metric for measuring the intelligence of a swarm of cooperating agents

COGNITIVE SYSTEMS RESEARCH , cilt.45, ss.17-29, 2017 (SCI-Expanded, SSCI, Scopus)

24. Event-triggered H-infinity filtering for delayed neural networks via sampled-data

Arslan E., Vadivel R., Ali M. S., Arik S.

NEURAL NETWORKS , cilt.91, ss.11-21, 2017 (SCI-Expanded, Scopus)

25. Sampled-data filtering of Takagi-Sugeno fuzzy neural networks with interval time-varying delays

Yucel E., Ali M. S., Gunasekaran N., Arik S.

FUZZY SETS AND SYSTEMS , cilt.316, ss.69-81, 2017 (SCI-Expanded, Scopus)

26. Decentralized event-triggered synchronization of uncertain Markovian jumping neutral-type neural networks with mixed delays

Senan S., Ali M. S., Vadivel R., Arık S.

NEURAL NETWORKS , cilt.86, ss.32-41, 2017 (SCI-Expanded, Scopus)

27. Passivity analysis of stochastic neural networks with leakage delay and Markovian jumping parameters

Ali M. S., Arik S., Rani M. E.

NEUROCOMPUTING , cilt.218, ss.139-145, 2016 (SCI-Expanded, Scopus)

28. Finite-time H-infinity state estimation for switched neural networks with time-varying delays

Ali M. S., Saravanan S., ARIK S.

NEUROCOMPUTING , cilt.207, ss.580-589, 2016 (SCI-Expanded, Scopus)

29. Dynamical analysis of uncertain neural networks with multiple time delays

ALI M. S., Arik S., SARAVANAKURNAR R.

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE , cilt.47, sa.3, ss.730-739, 2016 (SCI-Expanded, Scopus)

30. Novel H-infinity state estimation of static neural networks with interval time-varying delays via augmented Lyapunov-Krasovskii functional

ALI M. S., SARAVANAKUMAR R., Arik S.

NEUROCOMPUTING , cilt.171, ss.949-954, 2016 (SCI-Expanded, Scopus)

31. Delay-dependent stability criteria of uncertain Markovian jump neural networks with discrete interval and distributed time-varying delays

NEUROCOMPUTING , cilt.158, ss.167-173, 2015 (SCI-Expanded, Scopus)

32. An analysis of stability of neutral-type neural systems with constant time delays

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS , cilt.351, sa.11, ss.4949-4959, 2014 (SCI-Expanded, Scopus)

33. New global robust stability condition for uncertain neural networks with time delays

Ozcan N., Arik S.

NEUROCOMPUTING , cilt.142, ss.267-274, 2014 (SCI-Expanded, Scopus)

34. An improved robust stability result for uncertain neural networks with multiple time delays

NEURAL NETWORKS , cilt.54, ss.1-10, 2014 (SCI-Expanded, Scopus)

35. New Criteria for Global Robust Stability of Delayed Neural Networks With Norm-Bounded Uncertainties

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS , cilt.25, sa.6, ss.1045-1052, 2014 (SCI-Expanded, Scopus)

36. A new condition for robust stability of uncertain neural networks with time delays

NEUROCOMPUTING , cilt.128, ss.476-482, 2014 (SCI-Expanded, Scopus)

37. Further analysis of stability of uncertain neural networks with multiple time delays

ADVANCES IN DIFFERENCE EQUATIONS , 2014 (SCI-Expanded, Scopus)

38. An analysis of stability of uncertain neural networks with multiple time delays

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS , cilt.350, sa.7, ss.1808-1826, 2013 (SCI-Expanded, Scopus)

39. A new upper bound for the norm of interval matrices with application to robust stability analysis of delayed neural networks

NEURAL NETWORKS , cilt.44, ss.64-71, 2013 (SCI-Expanded, Scopus)

40. A new robust stability criterion for dynamical neural networks with multiple time delays

NEUROCOMPUTING , cilt.99, ss.290-297, 2013 (SCI-Expanded, Scopus)

41. An Analysis of Stability of a Class of Neutral-Type Neural Networks with Discrete Time Delays

Orman Z., Arik S.

ABSTRACT AND APPLIED ANALYSIS , 2013 (SCI-Expanded, Scopus)

42. New robust stability results for bidirectional associative memory neural networks with multiple time delays

Senan S., Arik S., LIU D.

APPLIED MATHEMATICS AND COMPUTATION , cilt.218, sa.23, ss.11472-11482, 2012 (SCI-Expanded, Scopus)

43. Robust stability analysis of a class of neural networks with discrete time delays

NEURAL NETWORKS , ss.52-59, 2012 (SCI-Expanded, Scopus)

44. Further analysis of global robust stability of neural networks with multiple time delays

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS , cilt.349, sa.3, ss.813-825, 2012 (SCI-Expanded, Scopus)

45. Equilibrium and stability analysis of delayed neural networks under parameter uncertainties

BALASUBRAMANIAM P., ALI M. S., Arik S.

APPLIED MATHEMATICS AND COMPUTATION , cilt.218, sa.12, ss.6716-6726, 2012 (SCI-Expanded, Scopus)

46. On-chip template training system and image processing applications using iterative annealing on ACE16k chip

Sevgen S., Arik S.

EXPERT SYSTEMS WITH APPLICATIONS , cilt.38, ss.12900-12905, 2011 (SCI-Expanded, Scopus)

47. Implementation of a Moving Target Tracking Algorithm Using Eye-RIS Vision System on a Mobile Robot

Karabiber F., ARENA P., FORTUNA L., DE FIORE S., VAGLIASINDI G., Arik S.

JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY , cilt.64, sa.3, ss.447-455, 2011 (SCI-Expanded, Scopus)

48. Implementation of a cellular neural network-based segmentation algorithm on the bio-inspired vision system

Karabiber F., GRASSI G., VECCHIO P., Arik S., Yalçın M. E.

JOURNAL OF ELECTRONIC IMAGING , cilt.20, sa.1, 2011 (SCI-Expanded, Scopus)

49. Global asymptotic stability of stochastic fuzzy cellular neural networks with multiple time-varying delays

EXPERT SYSTEMS WITH APPLICATIONS , cilt.37, sa.12, ss.7737-7744, 2010 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

50. New results for robust stability of dynamical neural networks with discrete time delays

Ensari T., Arik S.

EXPERT SYSTEMS WITH APPLICATIONS , cilt.37, sa.8, ss.5925-5930, 2010 (SCI-Expanded, Scopus)

51. A new sufficient condition for global robust stability of bidirectional associative memory neural networks with multiple time delays

Ozcan N., Arik S.

NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS , cilt.10, sa.5, ss.3312-3320, 2009 (SCI-Expanded, Scopus)

52. New results for global robust stability of bidirectional associative memory neural networks with multiple time delays

Senan S., Arik S.

CHAOS SOLITONS & FRACTALS , cilt.41, sa.4, ss.2106-2114, 2009 (SCI-Expanded, Scopus)

53. New results for global stability of a class of neutral-type neural systems with time delays

Samli R., Arik S.

APPLIED MATHEMATICS AND COMPUTATION , cilt.210, sa.2, ss.564-570, 2009 (SCI-Expanded, Scopus)

54. Novel results for global robust stability of delayed neural networks

Yucel E., Arik S.

CHAOS SOLITONS & FRACTALS , cilt.39, sa.4, ss.1604-1614, 2009 (SCI-Expanded, Scopus)

55. New results for global stability of Cohen-Grossberg neural networks with multiple time delays

Orman Z., Arik S.

NEUROCOMPUTING , cilt.71, ss.3053-3063, 2008 (SCI-Expanded, Scopus)

56. Global robust stability of bidirectional associative memory neural networks with multiple time delays

Senan S., Arik S.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS , cilt.37, sa.5, ss.1375-1381, 2007 (SCI-Expanded, Scopus)

57. An analysis of global robust stability of neural networks with discrete time delays

OZCAN N., Arik S.

PHYSICS LETTERS A , cilt.359, sa.5, ss.445-450, 2006 (SCI-Expanded, Scopus)

58. Global asymptotic stability of hybrid bidirectional associative memory neural networks with time delays

PHYSICS LETTERS A , cilt.351, ss.85-91, 2006 (SCI-Expanded, Scopus)

59. Global robust stability analysis of neural networks with multiple time delays

Ozcan N., Arik S.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS , cilt.53, sa.1, ss.166-176, 2006 (SCI-Expanded, Scopus)

60. Global robust stability analysis of neural networks with discrete time delays

CHAOS SOLITONS & FRACTALS , cilt.26, sa.5, ss.1407-1414, 2005 (SCI-Expanded, Scopus)

61. Global stability analysis of neural networks with multiple time varying delays

ENSARI T., Arik S.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL , cilt.50, sa.11, ss.1781-1785, 2005 (SCI-Expanded, Scopus)

62. Global asymptotic stability analysis of bidirectional associative memory neural networks with constant time delays

NEUROCOMPUTING , cilt.68, ss.161-176, 2005 (SCI-Expanded, Scopus)

63. Global stability analysis of Cohen-Grossberg neural networks with time varying delays

Arik S., ORMAN Z.

PHYSICS LETTERS A , cilt.341, ss.410-421, 2005 (SCI-Expanded, Scopus)

64. Global asymptotic stability analysis of bidirectional associative memory neural networks with time delays

IEEE TRANSACTIONS ON NEURAL NETWORKS , cilt.16, sa.3, ss.580-586, 2005 (SCI-Expanded, Scopus)

65. New results for exponential stability of delayed cellular neural networks

SENAN S., Arik S.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS , cilt.52, sa.3, ss.154-158, 2005 (SCI-Expanded, Scopus)

66. Global stability of a class of neural networks with time-varying delay

Ensarı T., Arik S.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS , cilt.52, sa.3, ss.126-130, 2005 (SCI-Expanded)

67. An analysis of exponential stability of delayed neural networks with time varying delays

NEURAL NETWORKS , cilt.17, sa.7, ss.1027-1031, 2004 (SCI-Expanded, Scopus)

68. On the global dissipativity of dynamical neural networks with time delays

PHYSICS LETTERS A , cilt.326, ss.126-132, 2004 (SCI-Expanded, Scopus)

69. New exponential stability results for delayed neural networks with time varying delays

YUCEL E., Arik S.

PHYSICA D-NONLINEAR PHENOMENA , cilt.191, ss.314-322, 2004 (SCI-Expanded, Scopus)

70. On the existence of stable equilibrium points in cellular neural networks

Ozcan N., Arik S., Tavsanoglu V.

JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS , cilt.12, sa.4, ss.461-471, 2003 (SCI-Expanded, Scopus)

71. Global asymptotic stability of a larger class of neural networks with constant time delay

PHYSICS LETTERS A , cilt.311, sa.6, ss.504-511, 2003 (SCI-Expanded, Scopus)

72. Global robust stability of delayed neural networks

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS , cilt.50, sa.1, ss.156-160, 2003 (SCI-Expanded, Scopus)

73. An analysis of global asymptotic stability of delayed cellular neural networks

IEEE TRANSACTIONS ON NEURAL NETWORKS , cilt.13, sa.5, ss.1239-1242, 2002 (SCI-Expanded, Scopus)

74. An improved global stability result for delayed cellular neural networks

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS , cilt.49, sa.8, ss.1211-1214, 2002 (SCI-Expanded, Scopus)

75. A note on the global stability of dynamical neural networks

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS , cilt.49, sa.4, ss.502-504, 2002 (SCI-Expanded, Scopus)

76. Stability analysis of delayed neural networks

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS , cilt.47, sa.7, ss.1089-1092, 2000 (SCI-Expanded, Scopus)

77. A sufficient condition for absolute stability of a larger class of dynamical neural networks

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS , cilt.47, sa.5, ss.758-760, 2000 (SCI-Expanded, Scopus)

78. Global asymptotic stability of a class of dynamical neural networks

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS , cilt.47, sa.4, ss.568-571, 2000 (SCI-Expanded, Scopus)

79. On the global asymptotic stability of delayed cellular neural networks

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS , cilt.47, sa.4, ss.571-574, 2000 (SCI-Expanded, Scopus)

80. A comment on "Comments on 'Necessary and sufficient condition for absolute stability of neural networks'"

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS , cilt.45, sa.5, ss.595-596, 1998 (SCI-Expanded, Scopus)

81. Equilibrium analysis of delayed CNN's

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS , cilt.45, sa.2, ss.168-171, 1998 (SCI-Expanded, Scopus)

82. Equilibrium analysis of non-symmetric CNNs

INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS , cilt.24, sa.3, ss.269-274, 1996 (SCI-Expanded, Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 54

1. Norm-Based Stability Conditions for Neutral Systems with Discrete Delays

5th International Conference on Robotics, Computer Vision and Intelligent Systems, ROBOVIS 2025, Porto, Portekiz, 25 - 27 Şubat 2025, cilt.2629 CCIS, ss.265-274, (Tam Metin Bildiri)

2. A New Lyapunov Stability Analysis of Neutral Systems with Multiple Delays

2024 International Conference on Control, Automation and Diagnosis, ICCAD 2024, Paris, Fransa, 15 - 17 Mayıs 2024, (Tam Metin Bildiri)

3. An Analysis of Stability of Multiple Delayed Cohen-Grossberg Neural Networks of Neutral Type