Lakshmanan Shanmugam

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Rakkiyappan RajanBharathiar UniversityPatvirtintas el. paštas buc.edu.in
P. BalasubramaniamThe Gandhigram Rural Institute-Deemed to be UniversityPatvirtintas el. paštas ruraluniv.ac.in
Fathalla A. Rihan (PhD & DSc)Full Professor: United Arab Emirates University and Helwan UniversityPatvirtintas el. paštas uaeu.ac.ae
Ju H. Park (Jessie Park), 박주현Chunma Chair Professor, Yeungnam UniversityPatvirtintas el. paštas ynu.ac.kr
Prakash ManiAssistant ProfessorPatvirtintas el. paštas vit.ac.in
Young Hoon JooKunsan National UniversityPatvirtintas el. paštas kunsan.ac.kr
CP LimProfessor, Swinburne University of TechnologyPatvirtintas el. paštas swin.edu.au
Hamid Abdi, PhD, Senior IEEE memberDeakin university, School of EngineeringPatvirtintas el. paštas deakin.edu.au
Reza MohajerpoorThe University of SydneyPatvirtintas el. paštas sydney.edu.au
Tae H. LeeAssociate Professor, Electronic Engineering, Jeonbuk National UniversityPatvirtintas el. paštas jbnu.ac.kr
Dr A. ManivannanAssociate Professor, Vellore Institute of Technology, ChennaiPatvirtintas el. paštas vit.ac.in
Saba Tareq (Saba Al-Wais)University of Technology- IraqPatvirtintas el. paštas uotechnology.edu.iq
Velmurugan GandhiPost-Doctoral fellow, RIKEN-AIPPatvirtintas el. paštas riken.jp
Dr. Mathiyalagan KalidassDepartment of Mathematics, Bharathiar University, Coimbatore 641 046, IndiaPatvirtintas el. paštas buc.edu.in
Asim BhattiProfessor; Deakin UniversityPatvirtintas el. paštas deakin.edu.au
Jinde CaoAcademician, RAS/AE/LAS/PAS/AAS/RAE/EASA/IASCYS & FIEEE/FAAIA/DFIETI; Southeast UniversityPatvirtintas el. paštas seu.edu.cn
O.M. KwonProfessor of Electrical Engineering, Chungbuk Natinonal UniversityPatvirtintas el. paštas chungbuk.ac.kr
Imali Thanuja HettiarachchiCentre for Intelligent Systems Research, Deakin UniversityPatvirtintas el. paštas deakin.edu.au
Nagamani GnaneswaranThe Gandhigram Rural Institute (Deemed to be University)Patvirtintas el. paštas ruraluniv.ac.in
Sangmoon Lee, S. Lee, SM Lee, 이상문Professor, School of Electronics Engineering, Kyungpook National UniversityPatvirtintas el. paštas knu.ac.kr

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Lakshmanan Shanmugam

Associate Professor, Department of Mathematics, School of Advanced Sciences, Vellore Institute of

Patvirtintas el. paštas vit.ac.in - Pagrindinis puslapis

Control Theory Neural Networks Dynamical System and Time Delay


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Synchronization of an inertial neural network with time-varying delays and its application to secure communication S Lakshmanan, M Prakash, CP Lim, R Rakkiyappan, P Balasubramaniam, ... IEEE transactions on neural networks and learning systems 29 (1), 195-207, 2018	340	2018
Adaptive synchronization of reaction–diffusion neural networks and its application to secure communication L Shanmugam, P Mani, R Rajan, YH Joo Ieee transactions on cybernetics 50 (3), 911-922, 2018	210	2018
Synchronization of Markovian jumping inertial neural networks and its applications in image encryption M Prakash, P Balasubramaniam, S Lakshmanan Neural Networks 83, 86-93, 2016	198	2016
Fractional-order delayed predator–prey systems with Holling type-II functional response FA Rihan, S Lakshmanan, AH Hashish, R Rakkiyappan, E Ahmed Nonlinear Dynamics 80, 777-789, 2015	193	2015
Adaptive fractional fuzzy integral sliding mode control for PMSM model P Mani, R Rajan, L Shanmugam, YH Joo IEEE Transactions on Fuzzy Systems 27 (8), 1674-1686, 2018	191	2018
Adaptive control for fractional order induced chaotic fuzzy cellular neural networks and its application to image encryption P Mani, R Rajan, L Shanmugam, YH Joo Information Sciences 491, 74-89, 2019	161	2019
A time delay model of tumour–immune system interactions: Global dynamics, parameter estimation, sensitivity analysis FA Rihan, DHA Rahman, S Lakshmanan, AS Alkhajeh Applied Mathematics and Computation 232, 606-623, 2014	142	2014
Improved results on robust stability of neutral systems with mixed time-varying delays and nonlinear perturbations S Lakshmanan, T Senthilkumar, P Balasubramaniam Applied Mathematical Modelling 35 (11), 5355-5368, 2011	129	2011
Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach A Chandrasekar, R Rakkiyappan, J Cao, S Lakshmanan Neural Networks 57, 79-93, 2014	117	2014
On Fractional SIRC Model with Salmonella Bacterial Infection FA Rihan, D Baleanu, S Lakshmanan, R Rakkiyappan Abstract and Applied Analysis 2014 (1), 136263, 2014	96	2014
Stability criteria for BAM neural networks with leakage delays and probabilistic time-varying delays S Lakshmanan, JH Park, TH Lee, HY Jung, R Rakkiyappan Applied Mathematics and Computation 219 (17), 9408-9423, 2013	96	2013
Design of Interval Type-2 Fuzzy-Based Sampled-Data Controller for Nonlinear Systems Using Novel Fuzzy Lyapunov Functional and Its Application to PMSM L Shanmugam, YH Joo IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1-10, 2018	95	2018
A delay partitioning approach to delay-dependent stability analysis for neutral type neural networks with discrete and distributed delays S Lakshmanan, JH Park, HY Jung, OM Kwon, R Rakkiyappan Neurocomputing 111, 81-89, 2013	91	2013
Optimal control of tumour-immune model with time-delay and immuno-chemotherapy FA Rihan, S Lakshmanan, H Maurer Applied Mathematics and Computation 353, 147-165, 2019	84	2019
Stability and stabilization for T–S fuzzy large-scale interconnected power system with wind farm via sampled-data control L Shanmugam, YH Joo IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (4), 2134-2144, 2020	80	2020
Robust stability results for uncertain stochastic neural networks with discrete interval and distributed time-varying delays R Rakkiyappan, P Balasubramaniam, S Lakshmanan Physics Letters A 372 (32), 5290-5298, 2008	79	2008
Finite-time stability analysis for fractional-order Cohen–Grossberg BAM neural networks with time delays C Rajivganthi, FA Rihan, S Lakshmanan, P Muthukumar Neural Computing and Applications 29, 1309-1320, 2018	76	2018
State estimation for genetic regulatory networks with mode-dependent leakage delays, time-varying delays, and Markovian jumping parameters TH Lee, S Lakshmanan, JH Park, P Balasubramaniam IEEE transactions on nanobioscience 12 (4), 363-375, 2013	76	2013
State estimation for Markovian jumping recurrent neural networks with interval time-varying delays P Balasubramaniam, S Lakshmanan, S Jeeva Sathya Theesar Nonlinear Dynamics 60 (4), 661-675, 2010	74	2010
Stability analysis of the differential genetic regulatory networks model with time-varying delays and Markovian jumping parameters S Lakshmanan, FA Rihan, R Rakkiyappan, JH Park Nonlinear analysis: Hybrid systems 14, 1-15, 2014	73	2014

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