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Nallappan Gunasekaran
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2020 – today
- 2024
- [j40]Yongbao Wu
, Jia Sun
, Nallappan Gunasekaran
, Jürgen Kurths
, Jian Liu:
Exponential Output Synchronization of Complex Networks With Output Coupling via Intermittent Event-Triggered Control. IEEE Trans. Control. Netw. Syst. 11(1): 284-294 (2024) - 2023
- [j39]Nallappan Gunasekaran
, R. Vadivel, Guisheng Zhai
, S. Vinoth:
Finite-time stability analysis and control of stochastic SIR epidemic model: A study of COVID-19. Biomed. Signal Process. Control. 86(Part A): 105123 (2023) - [j38]R. Vadivel, Zeric Tabekoueng Njitacke, Lakshmanan Shanmugam, Porpattama Hammachukiattikul, Nallappan Gunasekaran
:
Dynamical analysis and reachable set estimation of T-S fuzzy system with permanent magnet synchronous motor. Commun. Nonlinear Sci. Numer. Simul. 125: 107407 (2023) - [j37]Bhagyaraj Thangavel, Sabarathinam Srinivasan
, Viktor Popov, Kathamuthu Thamilmaran, R. Vadivel, Nallappan Gunasekaran:
Fuzzy Sampled-Data Stabilization of Hidden Oscillations in a Memristor-Based Dynamical System. Int. J. Bifurc. Chaos 33(11): 2350130:1-2350130:18 (2023) - [j36]R. Vadivel, T. K. Santhosh, Bundit Unyong, Quanxin Zhu, Jinde Cao, Nallappan Gunasekaran:
Stabilization of Photovoltaic Systems with Fuzzy Event-Triggered Communication. Int. J. Fuzzy Syst. 25(4): 1656-1673 (2023) - [j35]Fei Wei, Guici Chen
, Zhigang Zeng
, Nallappan Gunasekaran
:
Finite/fixed-time synchronization of inertial memristive neural networks by interval matrix method for secure communication. Neural Networks 167: 168-182 (2023) - [j34]Yongbao Wu
, Haihua Guo
, Lei Xue
, Nallappan Gunasekaran
, Jian Liu
:
Prescribed-Time Synchronization of Stochastic Complex Networks With High-Gain Coupling. IEEE Trans. Circuits Syst. II Express Briefs 70(11): 4133-4137 (2023) - 2022
- [j33]S. Vinoth
, Sivasamy Ramasamy
, K. Sathiyanathan
, Bundit Unyong
, R. Vadivel
, Nallappan Gunasekaran
:
A Novel Discrete-Time Leslie-Gower Model with the Impact of Allee Effect in Predator Population. Complex. 2022: 6931354:1-6931354:21 (2022) - [j32]Bhagyaraj Thangavel, Sabarathinam Srinivasan
, Kathamuthu Thamilmaran, Guisheng Zhai
, Nallappan Gunasekaran
:
Dynamical Analysis of T-S Fuzzy Financial Systems: A Sampled-Data Control Approach. Int. J. Fuzzy Syst. 24(4): 1944-1957 (2022) - [j31]Jingyao Wang, Manas Ranjan Pradhan, Nallappan Gunasekaran
:
Machine learning-based human-robot interaction in ITS. Inf. Process. Manag. 59(1): 102750 (2022) - [j30]Nallappan Gunasekaran
, M. Syed Ali, Sabri Arik
, H. I. Abdul Ghaffar
, Ahmed A. Zaki Diab
:
Finite-time and sampled-data synchronization of complex dynamical networks subject to average dwell-time switching signal. Neural Networks 149: 137-145 (2022) - [j29]Yongbao Wu
, Yue Wang, Nallappan Gunasekaran
, R. Vadivel
:
Almost Sure Consensus of Multi-Agent Systems: An Intermittent Noise. IEEE Trans. Circuits Syst. II Express Briefs 69(6): 2897-2901 (2022) - [j28]Nallappan Gunasekaran
, N. Mohamed Thoiyab
, Quanxin Zhu
, Jinde Cao
, P. Muruganantham
:
New Global Asymptotic Robust Stability of Dynamical Delayed Neural Networks via Intervalized Interconnection Matrices. IEEE Trans. Cybern. 52(11): 11794-11804 (2022) - [j27]Carlos Enrique Montenegro-Marín
, R. Dinesh Jackson Samuel, Nallappan Gunasekaran:
Introduction to the Special Issue on 6G Enabled Interactive Multimedia Communication Systems. ACM Trans. Multim. Comput. Commun. Appl. 18(3s): 133e:1-133e:2 (2022) - 2021
- [j26]Nallappan Gunasekaran
, Sabarathinam Srinivasan, Guisheng Zhai
, Qiang Yu
:
Dynamical Analysis and Sampled-Data Stabilization of Memristor-Based Chua's Circuits. IEEE Access 9: 25648-25658 (2021) - [j25]R. Anbuvithya, S. Dheepika Sri, R. Vadivel
, Nallappan Gunasekaran
, Porpattama Hammachukiattikul
:
Extended Dissipativity and Non-Fragile Synchronization for Recurrent Neural Networks With Multiple Time-Varying Delays via Sampled-Data Control. IEEE Access 9: 31454-31466 (2021) - [j24]R. Vadivel
, R. Suresh
, Porpattama Hammachukiattikul
, Bundit Unyong
, Nallappan Gunasekaran
:
Event-Triggered L2-L∞ Filtering for Network-Based Neutral Systems With Time-Varying Delays via T-S Fuzzy Approach. IEEE Access 9: 145133-145147 (2021) - [j23]Masaki Asada
, Nallappan Gunasekaran, Makoto Miwa, Yutaka Sasaki:
Representing a Heterogeneous Pharmaceutical Knowledge-Graph with Textual Information. Frontiers Res. Metrics Anal. 6: 670206 (2021) - [j22]M. Syed Ali, M. Usha, O. M. Kwon, Nallappan Gunasekaran
, Ganesh Kumar Thakur:
ℋ∞/passive non-fragile synchronisation of Markovian jump stochastic complex dynamical networks with time-varying delays. Int. J. Syst. Sci. 52(7): 1270-1283 (2021) - [j21]Shuixia Tao, Yuming Li, Xinge Dong, Nallappan Gunasekaran, Asad Aziz:
Smart Educational Learning Strategies for Teachers and Students in the Higher Education System. J. Multiple Valued Log. Soft Comput. 36(1-3): 99-115 (2021) - [j20]Nallappan Gunasekaran
, M. Syed Ali
:
Design of Stochastic Passivity and Passification for Delayed BAM Neural Networks with Markov Jump Parameters via Non-uniform Sampled-Data Control. Neural Process. Lett. 53(1): 391-404 (2021) - 2020
- [j19]Nallappan Gunasekaran
, N. Mohamed Thoiyab
, P. Muruganantham
, Grienggrai Rajchakit
, Bundit Unyong:
Novel Results on Global Robust Stability Analysis for Dynamical Delayed Neural Networks Under Parameter Uncertainties. IEEE Access 8: 178108-178116 (2020) - [j18]Nallappan Gunasekaran
, Guisheng Zhai, Qiang Yu
:
Sampled-data synchronization of delayed multi-agent networks and its application to coupled circuit. Neurocomputing 413: 499-511 (2020) - [j17]Nallappan Gunasekaran
, Guisheng Zhai:
Sampled-data state-estimation of delayed complex-valued neural networks. Int. J. Syst. Sci. 51(2): 303-312 (2020) - [j16]Nallappan Gunasekaran
, M. Syed Ali
, S. Pavithra:
Finite-Time L∞ Performance State Estimation of Recurrent Neural Networks with Sampled-Data Signals. Neural Process. Lett. 51(2): 1379-1392 (2020)
2010 – 2019
- 2019
- [j15]Nallappan Gunasekaran
, Ramasamy Saravanakumar, Young Hoon Joo
, Han Sol Kim:
Finite-time synchronization of sampled-data T-S fuzzy complex dynamical networks subject to average dwell-time approach. Fuzzy Sets Syst. 374: 40-59 (2019) - [j14]Nallappan Gunasekaran
, Guisheng Zhai
:
Stability analysis for uncertain switched delayed complex-valued neural networks. Neurocomputing 367: 198-206 (2019) - [j13]Nallappan Gunasekaran
, Ramasamy Saravanakumar, M. Syed Ali
, Quanxin Zhu:
Exponential sampled-data control for T-S fuzzy systems: application to Chua's circuit. Int. J. Syst. Sci. 50(16): 2979-2992 (2019) - [j12]M. Syed Ali
, Nallappan Gunasekaran
, Young Hoon Joo
:
Sampled-Data State Estimation of Neutral Type Neural Networks with Mixed Time-Varying Delays. Neural Process. Lett. 50(1): 357-378 (2019) - [j11]Nallappan Gunasekaran
, Young Hoon Joo
:
Robust Sampled-data Fuzzy Control for Nonlinear Systems and Its Applications: Free-Weight Matrix Method. IEEE Trans. Fuzzy Syst. 27(11): 2130-2139 (2019) - 2018
- [j10]M. Syed Ali
, Quanxin Zhu, S. Pavithra, Nallappan Gunasekaran
:
A study on ⟨(Q, S, R)-γ⟩-dissipative synchronisation of coupled reaction-diffusion neural networks with time-varying delays. Int. J. Syst. Sci. 49(4): 755-765 (2018) - [j9]M. Syed Ali
, Nallappan Gunasekaran
, R. Agalya, Young Hoon Joo
:
Non-fragile synchronisation of mixed delayed neural networks with randomly occurring controller gain fluctuations. Int. J. Syst. Sci. 49(16): 3354-3364 (2018) - [j8]M. Syed Ali
, Nallappan Gunasekaran
:
Sampled-data state estimation of Markovian jump static neural networks with interval time-varying delays. J. Comput. Appl. Math. 343: 217-229 (2018) - [j7]M. Syed Ali
, Nallappan Gunasekaran
, O. M. Kwon
:
Delay-dependent ℋ∞ performance state estimation of static delayed neural networks using sampled-data control. Neural Comput. Appl. 30(2): 539-550 (2018) - [j6]M. Syed Ali
, Nallappan Gunasekaran
, R. Saravanakumar
:
Design of passivity and passification for delayed neural networks with Markovian jump parameters via non-uniform sampled-data control. Neural Comput. Appl. 30(2): 595-605 (2018) - [j5]M. Syed Ali
, Nallappan Gunasekaran
, Choon Ki Ahn
, Peng Shi
:
Sampled-Data Stabilization for Fuzzy Genetic Regulatory Networks with Leakage Delays. IEEE ACM Trans. Comput. Biol. Bioinform. 15(1): 271-285 (2018) - 2017
- [j4]M. Syed Ali
, Nallappan Gunasekaran
, Quanxin Zhu:
State estimation of T-S fuzzy delayed neural networks with Markovian jumping parameters using sampled-data control. Fuzzy Sets Syst. 306: 87-104 (2017) - [j3]Eylem Yücel, M. Syed Ali
, Nallappan Gunasekaran
, Sabri Arik
:
Sampled-data filtering of Takagi-Sugeno fuzzy neural networks with interval time-varying delays. Fuzzy Sets Syst. 316: 69-81 (2017) - [j2]M. Syed Ali
, Nallappan Gunasekaran
, M. Esther Rani:
Robust stability of hopfield delayed neural networks via an augmented L-K functional. Neurocomputing 234: 198-204 (2017) - [j1]M. Syed Ali
, Nallappan Gunasekaran
, B. Aruna:
Design of sampled-data control for multiple-time delayed generalised neural networks based on delay-partitioning approach. Int. J. Syst. Sci. 48(13): 2794-2810 (2017)
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last updated on 2024-06-27 21:28 CEST by the dblp team
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