A. Chandrasekar

24 papers Journal 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive event triggering asynchronous control for interval type-2 fuzzy Markov jump systems with uncertainties and deception attacks.
Complex Intell. Syst.
A. Chandrasekar, Wen-Jer Chang, Thirunavukkarasu Radhika, S. Santhosh Kumar, Muhammad Shamrooz Aslam
2026 J jnl
Input-To-State Stable Sampled-Data Synchronisation Of Markovian Jump Lur'e Networks Under Actuator Saturation.
J. Artif. Intell. Soft Comput. Res.
Yang Cao, A. Chandrasekar, Thirunavukkarasu Radhika, Krzysztof Przybyszewski, Krzysztof Cpalka
2026 J jnl
Security-based asynchronous event-triggered control for passivity analysis of semi-Markov jump cyber-physical systems under aperiodic DoS attacks.
J. Frankl. Inst.
A. Chandrasekar, T. Radhika, M. Kamali, Michael Shi
2026 J jnl
Synchronization of fuzzy semi-Markov jump competitive neural networks using quantized hybrid control subject to actuator faults.
J. Frankl. Inst.
Thirunavukkarasu Radhika, A. Chandrasekar, Subhashri Alwarappan Ravisankar, O. M. Kwon
2025 J jnl
Intelligent tracking control of IT2 fuzzy systems with dynamic event-triggering via neural networks method.
J. Appl. Math. Comput.
A. Chandrasekar, T. Radhika, Subhashri Alwarappan Ravisankar, M. Kamali
2024 J jnl
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.
Yang Cao, Subhashri Alwarappan Ravisankar, A. Chandrasekar, Thirunavukkarasu Radhika, Krzysztof Przybyszewski
2024 J jnl
Input-to-state stability of stochastic Markovian jump genetic regulatory networks.
Math. Comput. Simul.
Yang Cao, A. Chandrasekar, Thirunavukkarasu Radhika, V. Vijayakumar
2023 J jnl
Analysis of Markovian Jump Stochastic Cohen-Grossberg BAM Neural Networks with Time Delays for Exponential Input-to-State Stability.
Neural Process. Lett.
Thirunavukkarasu Radhika, A. Chandrasekar, V. Vijayakumar, Quanxin Zhu
2022 J jnl
Further Results on Input-to-State Stability of Stochastic Cohen-Grossberg BAM Neural Networks with Probabilistic Time-Varying Delays.
Neural Process. Lett.
A. Chandrasekar, Thirunavukkarasu Radhika, Quanxin Zhu
2022 J jnl
State Estimation for Genetic Regulatory Networks with Two Delay Components by Using Second-Order Reciprocally Convex Approach.
Neural Process. Lett.
A. Chandrasekar, Thirunavukkarasu Radhika, Quanxin Zhu
2016 J jnl
Effects of bounded and unbounded leakage time-varying delays in memristor-based recurrent neural networks with different memductance functions.
Neurocomputing
A. Chandrasekar, R. Rakkiyappan, Xiaodi Li
2016 J jnl
Impulsive controller design for exponential synchronization of delayed stochastic memristor-based recurrent neural networks.
Neurocomputing
A. Chandrasekar, R. Rakkiyappan
2016 J jnl
Stochastic sampled data robust stabilisation of T-S fuzzy neutral systems with randomly occurring uncertainties and time-varying delays.
Int. J. Syst. Sci.
R. Rakkiyappan, A. Chandrasekar, S. Lakshmanan
2016 J jnl
Synchronization and periodicity of coupled inertial memristive neural networks with supremums.
Neurocomputing
R. Rakkiyappan, E. Udhaya Kumari, A. Chandrasekar, Ramasamy Krishnasamy
2015 J jnl
Exponential stability for markovian jumping stochastic BAM neural networks with mode-dependent probabilistic time-varying delays and impulse control.
Complex.
R. Rakkiyappan, A. Chandrasekar, Lakshmanan Shanmugam, Ju H. Park
2015 J jnl
Impulsive synchronization of Markovian jumping randomly coupled neural networks with partly unknown transition probabilities via multiple integral approach.
Neural Networks
A. Chandrasekar, R. Rakkiyappan, Jinde Cao
2015 J jnl
Passivity and Passification of Memristor-Based Recurrent Neural Networks With Additive Time-Varying Delays.
IEEE Trans. Neural Networks Learn. Syst.
Rajan Rakkiyappan, A. Chandrasekar, Jinde Cao
2014 J jnl
Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses.
Neurocomputing
R. Rakkiyappan, A. Chandrasekar, Lakshmanan Shanmugam, Ju H. Park
2014 J jnl
Exponential synchronization of Markovian jumping neural networks with partly unknown transition probabilities via stochastic sampled-data control.
Neurocomputing
A. Chandrasekar, R. Rakkiyappan, Fathalla A. Rihan, Lakshmanan Shanmugam
2014 J jnl
Stability of stochastic neural networks of neutral type with Markovian jumping parameters: A delay-fractioning approach.
J. Frankl. Inst.
R. Rakkiyappan, Quanxin Zhu, A. Chandrasekar
2014 J jnl
State estimation of memristor-based recurrent neural networks with time-varying delays based on passivity theory.
Complex.
R. Rakkiyappan, A. Chandrasekar, Lakshmanan Shanmugam, Ju H. Park
2014 J jnl
Stochastic stability of Markovian jump BAM neural networks with leakage delays and impulse control.
Neurocomputing
Quanxin Zhu, R. Rakkiyappan, A. Chandrasekar
2014 J jnl
Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach.
Neural Networks
A. Chandrasekar, R. Rakkiyappan, Jinde Cao, Lakshmanan Shanmugam
2013 J jnl
Effects of leakage time-varying delays in Markovian jump neural networks with impulse control.
Neurocomputing
R. Rakkiyappan, A. Chandrasekar, Lakshmanan Shanmugam, Ju H. Park, Ho Y. Jung