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ORCIDRamalingam Sriraman
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2020 – today
- 2024
[j22]Ramalingam Sriraman
, Oh-Min Kwon:
Non-separation Method-Based Global Stability Criteria for Takagi-Sugeno Fuzzy Quaternion-Valued BAM Delayed Neural Networks Using Quaternion-valued Auxiliary Function-Based Integral Inequality. Neural Process. Lett. 56(2): 101 (2024)- 2022
- [j21]Ramalingam Sriraman, Jihad A. Younis, Chee Peng Lim, Porpattama Hammachukiattikul, Grienggrai Rajchakit, Nattakan Boonsatit:
A Sampling Load Frequency Control Scheme for Power Systems with Time Delays. Complex. 2022: 3878321:1-3878321:14 (2022) - [j20]Ramalingam Sriraman, Asha Nedunchezhiyan:
Global stability of Clifford-valued Takagi-Sugeno fuzzy neural networks with time-varying delays and impulses. Kybernetika 58(4): 498-521 (2022) - [j19]Grienggrai Rajchakit, Ramalingam Sriraman, Chee Peng Lim, Bundit Unyong:
Existence, uniqueness and global stability of Clifford-valued neutral-type neural networks with time delays. Math. Comput. Simul. 201: 508-527 (2022) - 2021
- [j18]Nattakan Boonsatit, Ramalingam Sriraman, Thaned Rojsiraphisal, Chee Peng Lim, Porpattama Hammachukiattikul, Grienggrai Rajchakit:
Finite-Time Synchronization of Clifford-Valued Neural Networks With Infinite Distributed Delays and Impulses. IEEE Access 9: 111050-111061 (2021) - [j17]Grienggrai Rajchakit, Ramalingam Sriraman, P. Vignesh, Chee Peng Lim:
Impulsive effects on Clifford-valued neural networks with time-varying delays: An asymptotic stability analysis. Appl. Math. Comput. 407: 126309 (2021) - [j16]Yang Cao, S. Ramajayam, Ramalingam Sriraman, Rajendran Samidurai:
Leakage delay on stabilization of finite-time complex-valued BAM neural network: Decomposition approach. Neurocomputing 463: 505-513 (2021) - [j15]Grienggrai Rajchakit, Ramalingam Sriraman:
Robust Passivity and Stability Analysis of Uncertain Complex-Valued Impulsive Neural Networks with Time-Varying Delays. Neural Process. Lett. 53(1): 581-606 (2021) - 2020
- [j14]Yang Cao, Ramalingam Sriraman, Rajendran Samidurai:
Stability and stabilization analysis of nonlinear time-delay systems with randomly occurring controller gain fluctuation. Math. Comput. Simul. 171: 36-51 (2020) - [j13]Ramalingam Sriraman, Yang Cao, Rajendran Samidurai:
Global asymptotic stability of stochastic complex-valued neural networks with probabilistic time-varying delays. Math. Comput. Simul. 171: 103-118 (2020) - [j12]Yang Cao, Ramalingam Sriraman, N. Shyamsundarraj, Rajendran Samidurai:
Robust stability of uncertain stochastic complex-valued neural networks with additive time-varying delays. Math. Comput. Simul. 171: 207-220 (2020) - [j11]Pharunyou Chanthorn, Grienggrai Rajchakit, Usa Humphries, Pramet Kaewmesri, Ramalingam Sriraman, Chee Peng Lim:
A Delay-Dividing Approach to Robust Stability of Uncertain Stochastic Complex-Valued Hopfield Delayed Neural Networks. Symmetry 12(5): 683 (2020) - [j10]Ramalingam Sriraman, Grienggrai Rajchakit, Chee Peng Lim, Pharunyou Chanthorn, Rajendran Samidurai:
Discrete-Time Stochastic Quaternion-Valued Neural Networks with Time Delays: An Asymptotic Stability Analysis. Symmetry 12(6): 936 (2020) - [j9]Usa Humphries, Grienggrai Rajchakit, Ramalingam Sriraman, Pramet Kaewmesri, Pharunyou Chanthorn, Chee Peng Lim, Rajendran Samidurai:
An Extended Analysis on Robust Dissipativity of Uncertain Stochastic Generalized Neural Networks with Markovian Jumping Parameters. Symmetry 12(6): 1035 (2020)
2010 – 2019
- 2019
- [j8]Rajendran Samidurai, Ramalingam Sriraman, Song Zhu:
Leakage delay-dependent stability analysis for complex-valued neural networks with discrete and distributed time-varying delays. Neurocomputing 338: 262-273 (2019) - [j7]Rajendran Samidurai, Ramalingam Sriraman, Song Zhu:
Stability and dissipativity analysis for uncertain Markovian jump systems with random delays via new approach. Int. J. Syst. Sci. 50(8): 1609-1625 (2019) - [j6]Ramalingam Sriraman, Rajendran Samidurai:
Global asymptotic stability analysis for neutral-type complex-valued neural networks with random time-varying delays. Int. J. Syst. Sci. 50(9): 1742-1756 (2019) - [j5]Yang Cao, Rajendran Samidurai, Ramalingam Sriraman:
Stability and Dissipativity Analysis for Neutral Type Stochastic Markovian Jump Static Neural Networks with Time Delays. J. Artif. Intell. Soft Comput. Res. 9(3): 189-204 (2019) - [j4]Rajendran Samidurai, Ramalingam Sriraman:
Non-fragile sampled-data stabilization analysis for linear systems with probabilistic time-varying delays. J. Frankl. Inst. 356(8): 4335-4357 (2019) - [j3]Yang Cao, Rajendran Samidurai, Ramalingam Sriraman:
Robust passivity analysis for uncertain neural networks with leakage delay and additive time-varying delays by using general activation function. Math. Comput. Simul. 155: 57-77 (2019) - [j2]Rajendran Samidurai, Ramalingam Sriraman:
Robust dissipativity analysis for uncertain neural networks with additive time-varying delays and general activation functions. Math. Comput. Simul. 155: 201-216 (2019) - 2017
- [j1]Raman Manivannan, Rajendran Samidurai, Ramalingam Sriraman:
An improved delay-partitioning approach to stability criteria for generalized neural networks with interval time-varying delays. Neural Comput. Appl. 28(11): 3353-3369 (2017)
Coauthor Index
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