Raman Manivannan

18 papers Journal 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Multi-Head Attention ResCNN-BiGRU Model for Robust SOC Estimation in EVs Lithium-Ion Batteries Using Real-World Driving Data.
IEEE Access
N. Vigneswar, Raman Manivannan, Chala Merga Abdissa
2026 J jnl
An Improved Robust H∞ Observer Framework for State-of-Charge Estimation of Lithium-Ion Batteries in Electric Vehicles.
IEEE Access
K. Vinothini, Raman Manivannan, Chala Merga Abdissa
2024 J jnl
Generalized state estimation criteria for additive delayed memristor neural networks including leakage delay effect-flux-charge domain applications in energy storage systems.
J. Frankl. Inst.
Raman Manivannan
2023 J jnl
Robust unified dissipativity vibration control design for offshore steel jacket platform in ocean environments under self-excited nonlinear wave force.
J. Frankl. Inst.
Raman Manivannan
2021 J jnl
Extended Dissipativity Performance of High-Speed Train Including Actuator Faults and Probabilistic Time-Delays Under Resilient Reliable Control.
IEEE Trans. Syst. Man Cybern. Syst.
Jinde Cao, Raman Manivannan, Kil To Chong, Xiaoxiao Lv
2021 J jnl
Quasi-stability and quasi-synchronization control of quaternion-valued fractional-order discrete-time memristive neural networks.
Appl. Math. Comput.
Ruoxia Li, Jinde Cao, Changfeng Xue, Raman Manivannan
2020 J jnl
Design of Resilient Reliable Dissipativity Control for Systems With Actuator Faults and Probabilistic Time-Delay Signals via Sampled-Data Approach.
IEEE Trans. Syst. Man Cybern. Syst.
Raman Manivannan, Rajendran Samidurai, Jinde Cao, Matjaz Perc
2020 J jnl
Generalized dissipativity state estimation for genetic regulatory networks with interval time-delay signals and leakage delays.
Commun. Nonlinear Sci. Numer. Simul.
Raman Manivannan, Jinde Cao, Kil To Chong
2019 J jnl
Enhanced L2-L∞ state estimation design for delayed neural networks including leakage term via quadratic-type generalized free-matrix-based integral inequality.
J. Frankl. Inst.
Jinde Cao, Raman Manivannan, Kil To Chong, Xiaoxiao Lv
2018 J jnl
An Arcak-type state estimation design for time-delayed static neural networks with leakage term based on unified criteria.
Neural Networks
Raman Manivannan, Satyananda Panda, Kil To Chong, Jinde Cao
2018 J jnl
Design of extended dissipativity state estimation for generalized neural networks with mixed time-varying delay signals.
Inf. Sci.
Raman Manivannan, Rajendran Samidurai, Jinde Cao, Ahmed Alsaedi, Fuad E. Alsaadi
2018 J jnl
New Criteria for Stability of Generalized Neural Networks Including Markov Jump Parameters and Additive Time Delays.
IEEE Trans. Syst. Man Cybern. Syst.
Rajendran Samidurai, Raman Manivannan, Choon Ki Ahn, Hamid Reza Karimi
2017 J jnl
An improved delay-partitioning approach to stability criteria for generalized neural networks with interval time-varying delays.
Neural Comput. Appl.
Raman Manivannan, Rajendran Samidurai, Ramalingam Sriraman
2017 J jnl
Exponential stability and extended dissipativity criteria for generalized neural networks with interval time-varying delay signals.
J. Frankl. Inst.
Raman Manivannan, G. Mahendrakumar, Rajendran Samidurai, Jinde Cao, Ahmed Alsaedi
2017 J jnl
Further improved results on stability and dissipativity analysis of static impulsive neural networks with interval time-varying delays.
J. Frankl. Inst.
Raman Manivannan, Rajendran Samidurai, Quanxin Zhu
2017 J jnl
Global exponential stability and dissipativity of generalized neural networks with time-varying delay signals.
Neural Networks
Raman Manivannan, Rajendran Samidurai, Jinde Cao, Ahmed Alsaedi, Fuad E. Alsaadi
2016 J jnl
Delay-range-dependent passivity analysis for uncertain stochastic neural networks with discrete and distributed time-varying delays.
Neurocomputing
Rajendran Samidurai, Raman Manivannan
2015 J jnl
Robust passivity analysis for stochastic impulsive neural networks with leakage and additive time-varying delay components.
Appl. Math. Comput.
Rajendran Samidurai, Raman Manivannan