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
862011
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 (2), 1421-1434, 2012
592012
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
492011
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
392012
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
392010
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 (4), 2777-2799, 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
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
282010
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
272016
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
252013
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
232017
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
232016
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
192016
Dissipativity and passivity analysis of Markovian jump neural networks with two additive time-varying delays
G Nagamani, T Radhika
Neural Processing Letters 44 (2), 571-592, 2016
172016
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
162016
A delay decomposition approach for robust dissipativity and passivity analysis of neutral‐type neural networks with leakage time‐varying delay
G Nagamani, T Radhika, P Balasubramaniam
Complexity 21 (5), 248-264, 2016
162016
Global robust passivity analysis for stochastic interval neural networks with interval time-varying delays and Markovian jumping parameters
P Balasubramaniam, G Nagamani
Journal of Optimization Theory and Applications 149 (1), 197-215, 2011
162011
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
122019
Dissipativity and passivity analysis of T–S fuzzy neural networks with probabilistic time-varying delays: a quadratic convex combination approach
G Nagamani, T Radhika
Nonlinear Dynamics 82 (3), 1325-1341, 2015
122015
A delay decomposition approach to delay-dependent robust passive control for Takagi–Sugeno fuzzy nonlinear systems
P Balasubramaniam, G Nagamani
Circuits, Systems, and Signal Processing 31 (4), 1319-1341, 2012
122012
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