S. Saravanan

Affiliations:
  • Thiruvalluvar University, Department of Mathematics, Vellore, India


According to our database1, S. Saravanan authored at least 13 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
International Conference on Mathematical Modeling 2023.
Math. Comput. Simul., 2024

2020
Robust H∞ filtering for finite-time boundedness of Markovian jump system with distributed time-varying delays.
Int. J. Syst. Sci., 2020

2019
Finite-Time Non-fragile Dissipative Stabilization of Delayed Neural Networks.
Neural Process. Lett., 2019

Stochastic stability of neutral-type Markovian-jumping BAM neural networks with time varying delays.
J. Comput. Appl. Math., 2019

2018
Finite-time L<sub>2</sub>-gain analysis for switched neural networks with time-varying delay.
Neural Comput. Appl., 2018

Exponential passivity for uncertain neural networks with time-varying delays based on weighted integral inequalities.
Neurocomputing, 2018

Finite-time stability for memristor based switched neural networks with time-varying delays via average dwell time approach.
Neurocomputing, 2018

2017
Finite-Time Stability of Stochastic Cohen-Grossberg Neural Networks with Markovian Jumping Parameters and Distributed Time-Varying Delays.
Neural Process. Lett., 2017

Asymptotic Stability of Cohen-Grossberg BAM Neutral Type Neural Networks with Distributed Time Varying Delays.
Neural Process. Lett., 2017

Non-fragile finite-time <i>H</i><sub>∞</sub> state estimation of neural networks with distributed time-varying delay.
J. Frankl. Inst., 2017

Finite-time stability of neutral-type neural networks with random time-varying delays.
Int. J. Syst. Sci., 2017

2016
Finite-time H<sub>∞</sub> state estimation for switched neural networks with time-varying delays.
Neurocomputing, 2016

Robust finite-time H<sub>∞</sub> control for a class of uncertain switched neural networks of neutral-type with distributed time varying delays.
Neurocomputing, 2016


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