Raman Manivannan
Orcid: 0000-0003-4212-1305
According to our database1,
Raman Manivannan authored at least 18 papers
between 2015 and 2026.
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Bibliography
2026
An Improved Robust H∞ Observer Framework for State-of-Charge Estimation of Lithium-Ion Batteries in Electric Vehicles.
IEEE Access, 2026
A Multi-Head Attention ResCNN-BiGRU Model for Robust SOC Estimation in EVs Lithium-Ion Batteries Using Real-World Driving Data.
IEEE Access, 2026
2024
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., 2024
2023
Robust unified dissipativity vibration control design for offshore steel jacket platform in ocean environments under self-excited nonlinear wave force.
J. Frankl. Inst., 2023
2021
Extended Dissipativity Performance of High-Speed Train Including Actuator Faults and Probabilistic Time-Delays Under Resilient Reliable Control.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Quasi-stability and quasi-synchronization control of quaternion-valued fractional-order discrete-time memristive neural networks.
Appl. Math. Comput., 2021
2020
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., 2020
Generalized dissipativity state estimation for genetic regulatory networks with interval time-delay signals and leakage delays.
Commun. Nonlinear Sci. Numer. Simul., 2020
2019
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., 2019
2018
New Criteria for Stability of Generalized Neural Networks Including Markov Jump Parameters and Additive Time Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2018
An Arcak-type state estimation design for time-delayed static neural networks with leakage term based on unified criteria.
Neural Networks, 2018
Design of extended dissipativity state estimation for generalized neural networks with mixed time-varying delay signals.
Inf. Sci., 2018
2017
Global exponential stability and dissipativity of generalized neural networks with time-varying delay signals.
Neural Networks, 2017
An improved delay-partitioning approach to stability criteria for generalized neural networks with interval time-varying delays.
Neural Comput. Appl., 2017
Further improved results on stability and dissipativity analysis of static impulsive neural networks with interval time-varying delays.
J. Frankl. Inst., 2017
Exponential stability and extended dissipativity criteria for generalized neural networks with interval time-varying delay signals.
J. Frankl. Inst., 2017
2016
Delay-range-dependent passivity analysis for uncertain stochastic neural networks with discrete and distributed time-varying delays.
Neurocomputing, 2016
2015
Robust passivity analysis for stochastic impulsive neural networks with leakage and additive time-varying delay components.
Appl. Math. Comput., 2015