A. Chandrasekar
Orcid: 0000-0003-0883-8863Affiliations:
- Bharathiar University, Department of Mathematics, Coimbatore, India
According to our database1,
A. Chandrasekar
authored at least 21 papers
between 2013 and 2024.
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Bibliography
2024
Improved Event-Triggered-Based Output Tracking for a Class of Delayed Networked T-S Fuzzy Systems.
Int. J. Fuzzy Syst., June, 2024
Math. Comput. Simul., 2024
Exponential State Estimation for Delayed Competitive Neural Network Via Stochastic Sampled-Data Control with Markov Jump Parameters Under Actuator Failure.
J. Artif. Intell. Soft Comput. Res., 2024
2023
Analysis of Markovian Jump Stochastic Cohen-Grossberg BAM Neural Networks with Time Delays for Exponential Input-to-State Stability.
Neural Process. Lett., December, 2023
2022
Further Results on Input-to-State Stability of Stochastic Cohen-Grossberg BAM Neural Networks with Probabilistic Time-Varying Delays.
Neural Process. Lett., 2022
State Estimation for Genetic Regulatory Networks with Two Delay Components by Using Second-Order Reciprocally Convex Approach.
Neural Process. Lett., 2022
2016
Stochastic sampled data robust stabilisation of T-S fuzzy neutral systems with randomly occurring uncertainties and time-varying delays.
Int. J. Syst. Sci., 2016
Synchronization and periodicity of coupled inertial memristive neural networks with supremums.
Neurocomputing, 2016
Effects of bounded and unbounded leakage time-varying delays in memristor-based recurrent neural networks with different memductance functions.
Neurocomputing, 2016
Impulsive controller design for exponential synchronization of delayed stochastic memristor-based recurrent neural networks.
Neurocomputing, 2016
Robust stability analysis of stochastic neural networks with Markovian jumping parameters and probabilistic time-varying delays.
Complex., 2016
2015
Passivity and Passification of Memristor-Based Recurrent Neural Networks With Additive Time-Varying Delays.
IEEE Trans. Neural Networks Learn. Syst., 2015
Impulsive synchronization of Markovian jumping randomly coupled neural networks with partly unknown transition probabilities via multiple integral approach.
Neural Networks, 2015
Exponential stability for markovian jumping stochastic BAM neural networks with mode-dependent probabilistic time-varying delays and impulse control.
Complex., 2015
2014
Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach.
Neural Networks, 2014
Stability of stochastic neural networks of neutral type with Markovian jumping parameters: A delay-fractioning approach.
J. Frankl. Inst., 2014
Stochastic stability of Markovian jump BAM neural networks with leakage delays and impulse control.
Neurocomputing, 2014
Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses.
Neurocomputing, 2014
Exponential synchronization of Markovian jumping neural networks with partly unknown transition probabilities via stochastic sampled-data control.
Neurocomputing, 2014
State estimation of memristor-based recurrent neural networks with time-varying delays based on passivity theory.
Complex., 2014
2013
Effects of leakage time-varying delays in Markovian jump neural networks with impulse control.
Neurocomputing, 2013