Nagamani Gnaneswaran

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P. BalasubramaniamThe Gandhigram Rural Institute-Deemed to be UniversityAdresse e-mail validée de ruraluniv.ac.in
G. SoundararajanPost-Doc Fellow, Department of Mathematics, Nazarbayev University, Republic of Kazakhstan.Adresse e-mail validée de nu.edu.kz
Radhika TVellore Institute of TechnologyAdresse e-mail validée de vit.ac.in
Young Hoon JooKunsan National UniversityAdresse e-mail validée de kunsan.ac.kr
Karthik CGandhigram Rural Institute (Deemed to be University)Adresse e-mail validée de kluniversity.in
Rakkiyappan RajanBharathiar UniversityAdresse e-mail validée de buc.edu.in
Dafik DafikProfessor in Combinatorics, Graph Theory and Mathematics EducationAdresse e-mail validée de unej.ac.id
Karnan ArumugamIoE IISc Postdoctoral Fellow, Department of Mechanical Engineering, Indian Institute of ScienceAdresse e-mail validée de iisc.ac.in
Lakshmanan ShanmugamAssociate Professor, Division of Mathematics, School of Advanced Sciences, Vellore Institute ofAdresse e-mail validée de vit.ac.in
Reza MohajerpoorThe University of SydneyAdresse e-mail validée de sydney.edu.au
Anke Meyer-BaeseProfessor of Scientific Computing, Florida State UniversityAdresse e-mail validée de fsu.edu
V. VembarasanAssistant Professor, Department of Mathematics, Shiv Nadar University Chennai, KalavakkamAdresse e-mail validée de snuchennai.edu.in
Prakash ManiAssistant ProfessorAdresse e-mail validée de vit.ac.in
Ramasamy SaravanakumarShenzhen MSU-BIT UniversityAdresse e-mail validée de smbu.edu.cn
K Sri Raja PriyankaResearch Scholar, The Gandhigram Rural Institute (DTBU), Gandhigram.Adresse e-mail validée de ruraluniv.ac.in
Ardak KashkynbayevDepartment of Mathematics, Nazarbayev UniversityAdresse e-mail validée de nu.edu.kz
K. RatnaveluUniv Malaya, Flinders UniversityAdresse e-mail validée de um.edu.my
adhira balanSenior Research Fellow, The Gandhigram Rural Institute (Deemed to be University)

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Nagamani Gnaneswaran

The Gandhigram Rural Institute (Deemed to be University)

Adresse e-mail validée de ruraluniv.ac.in

Passivity Analysis Neural Networks


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Passivity analysis for neural networks of neutral type with Markovian jumping parameters and time delay in the leakage term P Balasubramaniam, G Nagamani, R Rakkiyappan Communications in Nonlinear Science and Numerical Simulation 16 (11), 4422-4437, 2011	92	2011
State estimation of neural networks with time-varying delays and Markovian jumping parameter based on passivity theory S Lakshmanan, JH Park, DH Ji, HY Jung, G Nagamani Nonlinear Dynamics 70, 1421-1434, 2012	62	2012
A delay decomposition approach to delay-dependent passivity analysis for interval neural networks with time-varying delay P Balasubramaniam, G Nagamani Neurocomputing 74 (10), 1646-1653, 2011	51	2011
Robust event-triggered reliable control for TS fuzzy uncertain systems via weighted based inequality G Nagamani, YH Joo, G Soundararajan, R Mohajerpoor Information Sciences 512, 31-49, 2020	42	2020
Passivity analysis of neural networks with Markovian jumping parameters and interval time-varying delays P Balasubramaniam, G Nagamani Nonlinear Analysis: Hybrid Systems 4 (4), 853-864, 2010	41	2010
Robust dissipativity and passivity analysis for discrete-time stochastic T–S fuzzy Cohen–Grossberg Markovian jump neural networks with mixed time delays S Ramasamy, G Nagamani, Q Zhu Nonlinear Dynamics 85, 2777-2799, 2016	40	2016
Global robust passivity analysis for stochastic fuzzy interval neural networks with time-varying delays P Balasubramaniam, G Nagamani Expert Systems with Applications 39 (1), 732-742, 2012	40	2012
Robust dissipativity and passivity analysis for discrete‐time stochastic neural networks with time‐varying delay G Nagamani, S Ramasamy, P Balasubramaniam Complexity 21 (3), 47-58, 2016	34	2016
State estimation for delayed genetic regulatory networks based on passivity theory V Vembarasan, G Nagamani, P Balasubramaniam, JH Park Mathematical Biosciences 244 (2), 165-175, 2013	33	2013
Robust state estimation for fractional-order delayed BAM neural networks via LMI approach G Nagamani, M Shafiya, G Soundararajan, M Prakash Journal of the Franklin Institute 357 (8), 4964-4982, 2020	31	2020
Exponential state estimation for memristor-based discrete-time BAM neural networks with additive delay components G Nagamani, GS Rajan, Q Zhu IEEE Transactions on Cybernetics 50 (10), 4281-4292, 2019	30	2019
Dissipativity and passivity analysis for discrete‐time complex‐valued neural networks with leakage delay and probabilistic time‐varying delays S Ramasamy, G Nagamani International Journal of Adaptive Control and Signal Processing 31 (6), 876-902, 2017	30	2017
Global passivity analysis of interval neural networks with discrete and distributed delays of neutral type P Balasubramaniam, G Nagamani, R Rakkiyappan Neural Processing Letters 32 (2), 109-130, 2010	30	2010
Event-triggered observer-based sliding mode control for TS fuzzy systems via improved relaxed-based integral inequality G Nagamani, C Karthik, YH Joo Journal of the Franklin Institute 357 (14), 9543-9567, 2020	29	2020
Stochastic dissipativity and passivity analysis for discrete-time neural networks with probabilistic time-varying delays in the leakage term G Nagamani, S Ramasamy Applied Mathematics and Computation 289, 237-257, 2016	29	2016
An improved result on dissipativity and passivity analysis of Markovian jump stochastic neural networks with two delay components G Nagamani, T Radhika, Q Zhu IEEE Transactions on Neural Networks and Learning Systems 28 (12), 3018-3031, 2016	28	2016
Dissipativity and passivity analysis for uncertain discrete-time stochastic Markovian jump neural networks with additive time-varying delays G Nagamani, S Ramasamy Neurocomputing 174, 795-805, 2016	28	2016
Dissipativity and passivity analysis of Markovian jump neural networks with two additive time-varying delays G Nagamani, T Radhika Neural Processing Letters 44, 571-592, 2016	23	2016
New finite-time passivity criteria for delayed fractional-order neural networks based on Lyapunov function approach M Shafiya, G Nagamani Chaos, Solitons & Fractals 158, 112005, 2022	22	2022
Dissipativity and passivity analysis for discrete-time T–S fuzzy stochastic neural networks with leakage time-varying delays based on Abel lemma approach G Nagamani, S Ramasamy Journal of the Franklin Institute 353 (14), 3313-3342, 2016	22	2016

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