Thirunavukkarasu Radhika

16 papers Journal 16
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
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
Robust dissipativity analysis for stochastic Markov jump competitive neural networks with mixed delays.
J. Appl. Math. Comput.
Subhashri Alwarappan Ravisankar, Thirunavukkarasu Radhika
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
Improved Event-Triggered-Based Output Tracking for a Class of Delayed Networked T-S Fuzzy Systems.
Int. J. Fuzzy Syst.
Muhammad Shamrooz Aslam, Thirunavukkarasu Radhika, Arunachalam Chandrasekar, Quanxin Zhu
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
2018 J jnl
Further results on dissipativity analysis for Markovian jump neural networks with randomly occurring uncertainties and leakage delays.
Neural Comput. Appl.
Thirunavukkarasu Radhika, Gnaneswaran Nagamani, Quanxin Zhu, S. Ramasamy, R. Saravanakumar
2017 J jnl
An Improved Result on Dissipativity and Passivity Analysis of Markovian Jump Stochastic Neural Networks With Two Delay Components.
IEEE Trans. Neural Networks Learn. Syst.
Gnaneswaran Nagamani, Thirunavukkarasu Radhika, Quanxin Zhu
2017 J jnl
Dissipativity and passivity analysis of Markovian jump impulsive neural networks with time delays.
Int. J. Comput. Math.
Gnaneswaran Nagamani, Thirunavukkarasu Radhika, Padmini Gopalakrishnan
2017 J jnl
Further Results on Dissipativity Criterion for Markovian Jump Discrete-Time Neural Networks with Two Delay Components Via Discrete Wirtinger Inequality Approach.
Neural Process. Lett.
S. Ramasamy, Gnaneswaran Nagamani, Thirunavukkarasu Radhika
2016 J jnl
A delay decomposition approach for robust dissipativity and passivity analysis of neutral-type neural networks with leakage time-varying delay.
Complex.
Gnaneswaran Nagamani, Thirunavukkarasu Radhika, Pagavathi Balasubramaniam
2016 J jnl
Dissipativity and Passivity Analysis of Markovian Jump Neural Networks with Two Additive Time-Varying Delays.
Neural Process. Lett.
Gnaneswaran Nagamani, Thirunavukkarasu Radhika