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Radhika T
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Analysis of Markovian jump stochastic Cohen–Grossberg BAM neural networks with time delays for exponential input-to-state stability
T Radhika, A Chandrasekar, V Vijayakumar, Q Zhu
Neural Processing Letters 55 (8), 11055-11072, 2023
352023
Further results on input-to-state stability of stochastic Cohen–Grossberg BAM neural networks with probabilistic time-varying delays
A Chandrasekar, T Radhika, Q Zhu
Neural Processing Letters, 1-23, 2022
312022
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
Design of sampled data state estimator for Markovian jumping neural networks with leakage time-varying delays and discontinuous Lyapunov functional approach
R Rakkiyappan, Q Zhu, T Radhika
Nonlinear Dynamics 73, 1367-1383, 2013
282013
Input-to-state stability of stochastic Markovian jump genetic regulatory networks
Y Cao, A Chandrasekar, T Radhika, V Vijayakumar
Mathematics and Computers in Simulation 222, 174-187, 2024
232024
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
232016
State estimation for genetic regulatory networks with two delay components by using second-order reciprocally convex approach
A Chandrasekar, T Radhika, Q Zhu
Neural Processing Letters, 1-19, 2022
222022
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
192016
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, 1325-1341, 2015
192015
Delay-dependent dissipativity criteria for Markovian jump neural networks with random delays and incomplete transition probabilities
G Nagamani, YH Joo, T Radhika
Nonlinear Dynamics 91, 2503-2522, 2018
162018
Further results on dissipativity analysis for Markovian jump neural networks with randomly occurring uncertainties and leakage delays
T Radhika, G Nagamani, Q Zhu, S Ramasamy, R Saravanakumar
Neural Computing and Applications 30, 3565-3579, 2018
112018
A quadratic convex combination approach on robust dissipativity and passivity analysis for Takagi–Sugeno fuzzy Cohen–Grossberg neural networks with time‐varying delays
G Nagamani, T Radhika
Mathematical Methods in the Applied Sciences 39 (13), 3880-3896, 2016
112016
Dissipativity and passivity analysis of Markovian jump impulsive neural networks with time delays
G Nagamani, T Radhika, P Gopalakrishnan
International Journal of Computer Mathematics 94 (7), 1479-1500, 2017
102017
Further results on dissipativity criterion for markovian jump discrete-time neural networks with two delay components via discrete wirtinger inequality approach
S Ramasamy, G Nagamani, T Radhika
Neural Processing Letters 45, 939-965, 2017
102017
Dissipativity analysis of stochastic memristor-based recurrent neural networks with discrete and distributed time-varying delays
T Radhika, G Nagamani
Network: Computation in Neural Systems 27 (4), 237-267, 2016
62016
A note on approximate controllability of second-order impulsive stochastic Volterra-Fredholm integrodifferential system with infinite delay
YK Ma, M Johnson, V Vijayakumar, T Radhika, A Shukla, KS Nisar
Journal of King Saud University-Science 35 (4), 102637, 2023
42023
Improved Event-Triggered-Based Output Tracking for a Class of Delayed Networked T–S Fuzzy Systems
MS Aslam, T Radhika, A Chandrasekar, Q Zhu
International Journal of Fuzzy Systems, 1-14, 2024
22024
Studies on extended passivity results for neural networks with time delays
T Radhika
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Articles 1–18