R. Sriraman - Concepedia

Author

R. Sriraman

Thiruvalluvar University

Also Known As

R Sriraman, R. Sriraman, Ramalingam Sriraman, Sriraman R, Sriraman Ramalingam

Publications

1.7K

Citations

H-Index

Concepts

All Affiliations

Thiruvalluvar University Maejo University Deakin University Chiang Mai University Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology

About

R. Sriraman is an author at Thiruvalluvar University specializing in stability, engineering, and systems engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	18	21	791
2	Systems Engineering	10	10	355
3	Computer Engineering	4	4	193
4	Computational Neuroscience	1	1	48
5	Fuzzy Systems	1	1	12

R. Sriraman

Publications

1.6K

Citations

H-Index

Page 1

	Year	Citations
Robust Passivity and Stability Analysis of Uncertain Complex-Valued Impulsive Neural Networks with Time-Varying Delays Grienggrai Rajchakit, R. Sriraman Neural Processing Letters Time Delay SystemTime-varying DelaysRobust PassivityImpulsive SystemStability Analysis	2021	127
Global Mittag–Leffler Stability and Stabilization Analysis of Fractional-Order Quaternion-Valued Memristive Neural Networks Grienggrai Rajchakit, Pharunyou Chanthorn, Pramet Kaewmesri, Mathematics Nonlinear ControlFractional-order SystemFractional DynamicStabilization AnalysisGlobal Mittag–leffler Stability	2020	112
Global exponential stability of Clifford-valued neural networks with time-varying delays and impulsive effects Grienggrai Rajchakit, R. Sriraman, N. Boonsatit, Advances in Difference Equations Time Delay SystemClifford-valued Neural NetworksImpulsive EffectsTime-varying DelaysClifford-valued Neural Network	2021	97
Global Stability Analysis of Fractional-Order Quaternion-Valued Bidirectional Associative Memory Neural Networks Usa Wannasingha Humphries, Grienggrai Rajchakit, Pramet Kaewmesri, Mathematics Nonlinear ControlGlobal Stability AnalysisFractional-order SystemFractional DynamicLinear Matrix Inequality	2020	84
Exponential stability in the Lagrange sense for Clifford-valued recurrent neural networks with time delays Grienggrai Rajchakit, R. Sriraman, N. Boonsatit, Advances in Difference Equations Time Delay SystemClifford NumbersEngineeringClifford-valued Rnn ModelsGlobal Exponential Stability	2021	70
Impulsive effects on Clifford-valued neural networks with time-varying delays: An asymptotic stability analysis Grienggrai Rajchakit, R. Sriraman, P. Vignesh, Applied Mathematics and Computation Time Delay SystemClifford-valued Neural NetworksImpulsive EffectsTime-varying DelaysNeuronal Network	2021	66
Finite-/fixed-time synchronization of delayed Clifford-valued recurrent neural networks N. Boonsatit, Grienggrai Rajchakit, R. Sriraman, Advances in Difference Equations	2021	66
Robust passivity analysis for uncertain neural networks with leakage delay and additive time-varying delays by using general activation function Yang Cao, R. Samidurai, R. Sriraman Mathematics and Computers in Simulation Time Delay SystemEngineeringLeakage DelayComputer EngineeringRobust Passivity Analysis	2017	65
Robust Stability of Complex-Valued Stochastic Neural Networks with Time-Varying Delays and Parameter Uncertainties Pharunyou Chanthorn, Grienggrai Rajchakit, Jenjira Thipcha, Mathematics Stability AnalysisUcvsnn ModelsTime Delay SystemEngineeringParameter Uncertainties	2020	65
Global asymptotic stability of stochastic complex-valued neural networks with probabilistic time-varying delays R. Sriraman, Yang Cao, R. Samidurai Mathematics and Computers in Simulation Time Delay SystemEngineeringStochastic SystemStochastic NetworkStochastic Dynamical System	2019	64

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