A. Chandrasekar

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 9

Top Topics

Transition Probabilities

State Estimation

Timed Petri Nets

Top Venues

Neural Process. Lett.

Neural Networks

Publications

Yang Cao, Subhashri Alwarappan Ravisankar, A. Chandrasekar, Thirunavukkarasu Radhika, Krzysztof Przybyszewski
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. 14 (4) (2024)
Yang Cao, A. Chandrasekar, T. Radhika, V. Vijayakumar
Input-to-state stability of stochastic Markovian jump genetic regulatory networks. Math. Comput. Simul. 222 (2024)
T. Radhika, A. Chandrasekar, V. Vijayakumar, Quanxin Zhu
Analysis of Markovian Jump Stochastic Cohen-Grossberg BAM Neural Networks with Time Delays for Exponential Input-to-State Stability. Neural Process. Lett. 55 (8) (2023)
A. Chandrasekar, T. Radhika, Quanxin Zhu
Further Results on Input-to-State Stability of Stochastic Cohen-Grossberg BAM Neural Networks with Probabilistic Time-Varying Delays. Neural Process. Lett. 54 (1) (2022)
A. Chandrasekar, T. Radhika, Quanxin Zhu
State Estimation for Genetic Regulatory Networks with Two Delay Components by Using Second-Order Reciprocally Convex Approach. Neural Process. Lett. 54 (1) (2022)
R. Rakkiyappan, A. Chandrasekar, S. Lakshmanan
Stochastic sampled data robust stabilisation of T-S fuzzy neutral systems with randomly occurring uncertainties and time-varying delays. Int. J. Syst. Sci. 47 (10) (2016)
A. Chandrasekar, R. Rakkiyappan, Xiaodi Li
Effects of bounded and unbounded leakage time-varying delays in memristor-based recurrent neural networks with different memductance functions. Neurocomputing 202 (2016)
R. Rakkiyappan, E. Udhaya Kumari, A. Chandrasekar, Ramasamy Krishnasamy
Synchronization and periodicity of coupled inertial memristive neural networks with supremums. Neurocomputing 214 (2016)
A. Chandrasekar, R. Rakkiyappan
Impulsive controller design for exponential synchronization of delayed stochastic memristor-based recurrent neural networks. Neurocomputing 173 (2016)
Rajan Rakkiyappan, A. Chandrasekar, Jinde Cao
Passivity and Passification of Memristor-Based Recurrent Neural Networks With Additive Time-Varying Delays. IEEE Trans. Neural Networks Learn. Syst. 26 (9) (2015)
R. Rakkiyappan, A. Chandrasekar, Shanmugam Lakshmanan, Ju H. Park
Exponential stability for markovian jumping stochastic BAM neural networks with mode-dependent probabilistic time-varying delays and impulse control. Complex. 20 (3) (2015)
A. Chandrasekar, R. Rakkiyappan, Jinde Cao
Impulsive synchronization of Markovian jumping randomly coupled neural networks with partly unknown transition probabilities via multiple integral approach. Neural Networks 70 (2015)
Quanxin Zhu, R. Rakkiyappan, A. Chandrasekar
Stochastic stability of Markovian jump BAM neural networks with leakage delays and impulse control. Neurocomputing 136 (2014)
R. Rakkiyappan, A. Chandrasekar, Shanmugam Lakshmanan, Ju H. Park
Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses. Neurocomputing 131 (2014)
A. Chandrasekar, R. Rakkiyappan, Fathalla A. Rihan, Shanmugam Lakshmanan
Exponential synchronization of Markovian jumping neural networks with partly unknown transition probabilities via stochastic sampled-data control. Neurocomputing 133 (2014)
R. Rakkiyappan, Quanxin Zhu, A. Chandrasekar
Stability of stochastic neural networks of neutral type with Markovian jumping parameters: A delay-fractioning approach. J. Frankl. Inst. 351 (3) (2014)
A. Chandrasekar, R. Rakkiyappan, Jinde Cao, Shanmugam Lakshmanan
Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach. Neural Networks 57 (2014)
R. Rakkiyappan, A. Chandrasekar, Shanmugam Lakshmanan, Ju H. Park
State estimation of memristor-based recurrent neural networks with time-varying delays based on passivity theory. Complex. 19 (4) (2014)
R. Rakkiyappan, A. Chandrasekar, Shanmugam Lakshmanan, Ju H. Park, Ho Y. Jung
Effects of leakage time-varying delays in Markovian jump neural networks with impulse control. Neurocomputing 121 (2013)