Effects of leakage time-varying delays in Markovian jump neural networks with impulse control. - R. Rakkiyappan; A. Chandrasekar 001; Shanmugam Lakshmanan; Ju H. Park 001; Ho Y. Jung (Neurocomputing, 2013)

State estimation of memristor-based recurrent neural networks with time-varying delays based on passivity theory. - R. Rakkiyappan; A. Chandrasekar 001; Shanmugam Lakshmanan; Ju H. Park 001 (Complex., 2014)

Exponential synchronization of Markovian jumping neural networks with partly unknown transition probabilities via stochastic sampled-data control. - A. Chandrasekar 001; R. Rakkiyappan; Fathalla A. Rihan; Shanmugam Lakshmanan (Neurocomputing, 2014)

Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses. - R. Rakkiyappan; A. Chandrasekar 001; Shanmugam Lakshmanan; Ju H. Park 001 (Neurocomputing, 2014)

Stochastic stability of Markovian jump BAM neural networks with leakage delays and impulse control. - Quanxin Zhu; R. Rakkiyappan; A. Chandrasekar 001 (Neurocomputing, 2014)

Stability of stochastic neural networks of neutral type with Markovian jumping parameters: A delay-fractioning approach. - R. Rakkiyappan; Quanxin Zhu; A. Chandrasekar 001 (J. Frankl. Inst., 2014)

Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach. - A. Chandrasekar 001; R. Rakkiyappan; Jinde Cao; Shanmugam Lakshmanan (Neural Networks, 2014)

Exponential stability for markovian jumping stochastic BAM neural networks with mode-dependent probabilistic time-varying delays and impulse control. - R. Rakkiyappan; A. Chandrasekar 001; Shanmugam Lakshmanan; Ju H. Park 001 (Complex., 2015)

Impulsive synchronization of Markovian jumping randomly coupled neural networks with partly unknown transition probabilities via multiple integral approach. - A. Chandrasekar 001; R. Rakkiyappan; Jinde Cao (Neural Networks, 2015)

Passivity and Passification of Memristor-Based Recurrent Neural Networks With Additive Time-Varying Delays. - Rajan Rakkiyappan; A. Chandrasekar 001; Jinde Cao (IEEE Trans. Neural Networks Learn. Syst., 2015)

Robust stability analysis of stochastic neural networks with Markovian jumping parameters and probabilistic time-varying delays. - Chandrasekar Pradeep; Arunachalam Chandrasekar; Rangasamy Murugesu; Rajan Rakkiyappan (Complex., 2016)

Impulsive controller design for exponential synchronization of delayed stochastic memristor-based recurrent neural networks. - A. Chandrasekar 001; R. Rakkiyappan (Neurocomputing, 2016)

Effects of bounded and unbounded leakage time-varying delays in memristor-based recurrent neural networks with different memductance functions. - A. Chandrasekar 001; R. Rakkiyappan; Xiaodi Li 001 (Neurocomputing, 2016)

Synchronization and periodicity of coupled inertial memristive neural networks with supremums. - R. Rakkiyappan; E. Udhaya Kumari; A. Chandrasekar 001; Ramasamy Krishnasamy (Neurocomputing, 2016)

Stochastic sampled data robust stabilisation of T-S fuzzy neutral systems with randomly occurring uncertainties and time-varying delays. - R. Rakkiyappan; A. Chandrasekar 001; S. Lakshmanan (Int. J. Syst. Sci., 2016)

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)