Raman Manivannan

An improved delay-partitioning approach to stability criteria for generalized neural networks with interval time-varying delays

Raman Manivannan, Rajendran Samidurai, R. Sriraman, 2017, Neural Computing and Applications.

Robust passivity analysis for stochastic impulsive neural networks with leakage and additive time-varying delay components

Raman Manivannan, Rajendran Samidurai, R. Samidurai, 2015, Appl. Math. Comput..

Design of extended dissipativity state estimation for generalized neural networks with mixed time-varying delay signals

Jinde Cao, Fuad E. Alsaadi, Ahmed Alsaedi, 2018, Inf. Sci..

Delay-range-dependent passivity analysis for uncertain stochastic neural networks with discrete and distributed time-varying delays

Raman Manivannan, Rajendran Samidurai, R. Samidurai, 2016, Neurocomputing.

Exponential stability and extended dissipativity criteria for generalized neural networks with interval time-varying delay signals

Jinde Cao, Ahmed Alsaedi, Raman Manivannan, 2017, J. Frankl. Inst..

An Arcak-type state estimation design for time-delayed static neural networks with leakage term based on unified criteria

Jinde Cao, Raman Manivannan, Kil To Chong, 2018, Neural Networks.

Global exponential stability and dissipativity of generalized neural networks with time-varying delay signals

Jinde Cao, Fuad E. Alsaadi, Ahmed Alsaedi, 2017, Neural Networks.

Exponential H∞ Filtering Design for Discrete-Time Neural Networks Switched Systems with Time-Varying Delay

Raman Manivannan, R. Samidurai, G. Mahendrakumar, 2017 .

Further improved results on stability and dissipativity analysis of static impulsive neural networks with interval time-varying delays

Raman Manivannan, Rajendran Samidurai, Quanxin Zhu, 2017, J. Frankl. Inst..