Ramasamy Saravanakumar
Ramasamy Saravanakumar
Hiroshima University
Verified email at kunsan.ac.kr - Homepage
Title
Cited by
Cited by
Year
Stability of Markovian jump generalized neural networks with interval time-varying delays
R Saravanakumar, MS Ali, CK Ahn, HR Karimi, P Shi
IEEE transactions on neural networks and learning systems 28 (8), 1840-1850, 2016
1042016
Delay-dependent stability criteria of uncertain markovian jump neural network s with discrete interval and distributed time-varying delays
RS M. Syed Ali, Sabri Arik
Neurocomputing, 2015
802015
New passivity criteria for memristor-based neutral-type stochastic BAM neural networks with mixed time-varying delays
MS Ali, R Saravanakumar, J Cao
Neurocomputing 171, 1533-1547, 2016
772016
Exponential stability, passivity, and dissipativity analysis of generalized neural networks with mixed time-varying delays
R Saravanakumar, G Rajchakit, CK Ahn, HR Karimi
IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (2), 395-405, 2017
462017
Novel delay-dependent robust H∞ control of uncertain systems with distributed time-varying delays
MS Ali, R Saravanakumar
Applied Mathematics and Computation 249, 510-520, 2014
422014
Novel H∞ state estimation of static neural networks with interval time-varying delays via augmented Lyapunov–Krasovskii functional
MS Ali, R Saravanakumar, S Arik
Neurocomputing 171, 949-954, 2016
392016
Robust H control of uncertain stochastic Markovian jump systems with mixed time-varying delays
R Saravanakumar, MS Ali, HR Karimi
International Journal of Systems Science 48 (4), 862-872, 2017
372017
Finite-time passivity-based stability criteria for delayed discrete-time neural networks via new weighted summation inequalities
R Saravanakumar, SB Stojanovic, DD Radosavljevic, CK Ahn, HR Karimi
IEEE transactions on neural networks and learning systems 30 (1), 58-71, 2018
352018
Stochastic H∞ filtering for neural networks with leakage delay and mixed time-varying delays
MS Ali, R Saravanakumar, CK Ahn, HR Karimi
Information Sciences 388, 118-134, 2017
352017
Exponential stability of semi-Markovian jump generalized neural networks with interval time-varying delays
G Rajchakit, R Saravanakumar
Neural Computing and Applications 29 (2), 483-492, 2018
332018
H state estimation of generalised neural networks with interval time-varying delays
R Saravanakumar, MS Ali, J Cao, H Huang
International Journal of Systems Science 47 (16), 3888-3899, 2016
322016
Improved exponential convergence result for generalized neural networks including interval time-varying delayed signals
G Rajchakit, R Saravanakumar, CK Ahn, HR Karimi
Neural Networks 86, 10-17, 2017
292017
Less conservative delay-dependent H∞ control of uncertain neural networks with discrete interval and distributed time-varying delays
MS Ali, R Saravanakumar, Q Zhu
Neurocomputing 166, 84-95, 2015
292015
Improved delay-dependent robust H∞ control of an uncertain stochastic system with interval time-varying and distributed delays
MS Ali, R Saravanakumar
Chinese Physics B 23 (12), 120201, 2014
232014
Robust extended dissipativity criteria for discrete-time uncertain neural networks with time-varying delays
R Saravanakumar, G Rajchakit, MS Ali, Z Xiang, YH Joo
Neural Computing and Applications 30 (12), 3893-3904, 2018
212018
Robust H∞ state-feedback control for nonlinear uncertain systems with mixed time-varying delays
R Saravanakumar, MS Ali, H Huang, J Cao, YH Joo
International Journal of Control, Automation and Systems 16 (1), 225-233, 2018
192018
Exponential dissipativity criteria for generalized BAM neural networks with variable delays
R Saravanakumar, G Rajchakit, MS Ali, YH Joo
Neural Computing and Applications 31 (7), 2717-2726, 2019
182019
Robust stabilization of delayed neural networks: Dissipativity-learning approach
R Saravanakumar, HS Kang, CK Ahn, X Su, HR Karimi
IEEE transactions on neural networks and learning systems 30 (3), 913-922, 2018
172018
H ∞ state estimation of stochastic neural networks with mixed time-varying delays
R Saravanakumar, MS Ali, M Hua
Soft Computing 20 (9), 3475-3487, 2016
162016
Augmented Lyapunov approach to H∞ state estimation of static neural networks with discrete and distributed time-varying delays
R Saravanakumar
Chinese Physics B 24 (5), 050201, 2015
162015
The system can't perform the operation now. Try again later.
Articles 1–20