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)

Dissipativity and Passivity Analysis of Markovian Jump Neural Networks with Two Additive Time-Varying Delays. - Gnaneswaran Nagamani; Thirunavukkarasu Radhika (Neural Process. Lett., 2016)

Dissipativity and passivity analysis of Markovian jump impulsive neural networks with time delays. - Gnaneswaran Nagamani; Thirunavukkarasu Radhika; Padmini Gopalakrishnan (Int. J. Comput. Math., 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)

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 analysis for Markovian jump neural networks with randomly occurring uncertainties and leakage delays. - Thirunavukkarasu Radhika; Gnaneswaran Nagamani; Quanxin Zhu; S. Ramasamy; R. Saravanakumar 001 (Neural Comput. Appl., 2018)

State Estimation for Genetic Regulatory Networks with Two Delay Components by Using Second-Order Reciprocally Convex Approach. - A. Chandrasekar 001; Thirunavukkarasu Radhika; Quanxin Zhu (Neural Process. Lett., 2022)

Further Results on Input-to-State Stability of Stochastic Cohen-Grossberg BAM Neural Networks with Probabilistic Time-Varying Delays. - A. Chandrasekar 001; Thirunavukkarasu Radhika; Quanxin Zhu (Neural Process. Lett., 2022)

Analysis of Markovian Jump Stochastic Cohen-Grossberg BAM Neural Networks with Time Delays for Exponential Input-to-State Stability. - Thirunavukkarasu Radhika; A. Chandrasekar 001; V. Vijayakumar 001; Quanxin Zhu (Neural Process. Lett., 2023)

Exponential State Estimation for Delayed Competitive Neural Network Via Stochastic Sampled-Data Control with Markov Jump Parameters Under Actuator Failure. - Yang Cao 003; Subhashri Alwarappan Ravisankar; A. Chandrasekar 001; Thirunavukkarasu Radhika; Krzysztof Przybyszewski (J. Artif. Intell. Soft Comput. Res., 2024)

Input-to-state stability of stochastic Markovian jump genetic regulatory networks. - Yang Cao 003; A. Chandrasekar 001; Thirunavukkarasu Radhika; V. Vijayakumar 001 (Math. Comput. Simul., 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., 2024)

Robust dissipativity analysis for stochastic Markov jump competitive neural networks with mixed delays. - Subhashri Alwarappan Ravisankar; Thirunavukkarasu Radhika (J. Appl. Math. Comput., 2025)