Thirunavukkarasu Radhika

According to our database, Thirunavukkarasu Radhika authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Improved Event-Triggered-Based Output Tracking for a Class of Delayed Networked T-S Fuzzy Systems.

Muhammad Shamrooz Aslam, Thirunavukkarasu Radhika, Arunachalam Chandrasekar, Quanxin Zhu

Int. J. Fuzzy Syst., June, 2024

Input-to-state stability of stochastic Markovian jump genetic regulatory networks.

Yang Cao, A. Chandrasekar, Thirunavukkarasu Radhika, V. Vijayakumar

Math. Comput. Simul., 2024

Exponential State Estimation for Delayed Competitive Neural Network Via Stochastic Sampled-Data Control with Markov Jump Parameters Under Actuator Failure.

Yang Cao, Subhashri Alwarappan Ravisankar, A. Chandrasekar, Thirunavukkarasu Radhika, Krzysztof Przybyszewski

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.

Thirunavukkarasu Radhika, A. Chandrasekar, V. Vijayakumar, Quanxin Zhu

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.

A. Chandrasekar, Thirunavukkarasu Radhika, Quanxin Zhu

Neural Process. Lett., 2022

State Estimation for Genetic Regulatory Networks with Two Delay Components by Using Second-Order Reciprocally Convex Approach.

A. Chandrasekar, Thirunavukkarasu Radhika, Quanxin Zhu

Neural Process. Lett., 2022

2018

Further results on dissipativity analysis for Markovian jump neural networks with randomly occurring uncertainties and leakage delays.

Thirunavukkarasu Radhika, Gnaneswaran Nagamani, Quanxin Zhu, S. Ramasamy, R. Saravanakumar

Neural Comput. Appl., 2018

2017

An Improved Result on Dissipativity and Passivity Analysis of Markovian Jump Stochastic Neural Networks With Two Delay Components.

Gnaneswaran Nagamani, Thirunavukkarasu Radhika, Quanxin Zhu

IEEE Trans. Neural Networks Learn. Syst., 2017

Further Results on Dissipativity Criterion for Markovian Jump Discrete-Time Neural Networks with Two Delay Components Via Discrete Wirtinger Inequality Approach.

S. Ramasamy, Gnaneswaran Nagamani, Thirunavukkarasu Radhika

Neural Process. Lett., 2017

Dissipativity and passivity analysis of Markovian jump impulsive neural networks with time delays.

Gnaneswaran Nagamani, Thirunavukkarasu Radhika, Padmini Gopalakrishnan

Int. J. Comput. Math., 2017

2016

Dissipativity and Passivity Analysis of Markovian Jump Neural Networks with Two Additive Time-Varying Delays.

Gnaneswaran Nagamani, Thirunavukkarasu Radhika

Neural Process. Lett., 2016

A delay decomposition approach for robust dissipativity and passivity analysis of neutral-type neural networks with leakage time-varying delay.

Gnaneswaran Nagamani, Thirunavukkarasu Radhika, Pagavathi Balasubramaniam

Complex., 2016