Follow
Nagamani Gnaneswaran
Nagamani Gnaneswaran
The Gandhigram Rural Institute (Deemed to be University)
Verified email at ruraluniv.ac.in
Title
Cited by
Cited by
Year
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
922011
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
622012
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
512011
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
412010
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
402012
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
392016
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
382020
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
342016
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
332013
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
312020
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
302019
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
302017
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
302010
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
282016
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
282016
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
282016
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
272020
Event‐triggered stabilisation for T–S fuzzy systems with asynchronous premise constraints and its application to wind turbine system
N Gnaneswaran, YH Joo
IET Control Theory & Applications 13 (10), 1532-1542, 2019
222019
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
222016
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
222016
The system can't perform the operation now. Try again later.
Articles 1–20