Raman Manivannan

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 16

Top Topics

Kalman Filtering

Takagi Sugeno Fuzzy

State Estimation

Global Exponential Stability

Top Venues

J. Frankl. Inst.

IEEE Trans. Syst. Man Cybern. Syst.

Appl. Math. Comput.

Neural Networks

Publications

Raman Manivannan
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. 361 (1) (2024)
Raman Manivannan
Robust unified dissipativity vibration control design for offshore steel jacket platform in ocean environments under self-excited nonlinear wave force. J. Frankl. Inst. 360 (8) (2023)
Ruoxia Li, Jinde Cao, Changfeng Xue, Raman Manivannan
Quasi-stability and quasi-synchronization control of quaternion-valued fractional-order discrete-time memristive neural networks. Appl. Math. Comput. 395 (2021)
Jinde Cao, Raman Manivannan, Kil To Chong, Xiaoxiao Lv
Extended Dissipativity Performance of High-Speed Train Including Actuator Faults and Probabilistic Time-Delays Under Resilient Reliable Control. IEEE Trans. Syst. Man Cybern. Syst. 51 (6) (2021)
Raman Manivannan, Jinde Cao, Kil To Chong
Generalized dissipativity state estimation for genetic regulatory networks with interval time-delay signals and leakage delays. Commun. Nonlinear Sci. Numer. Simul. 89 (2020)
Raman Manivannan, Rajendran Samidurai, Jinde Cao, Matjaz Perc
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. 50 (11) (2020)
Jinde Cao, Raman Manivannan, Kil To Chong, Xiaoxiao Lv
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. 356 (13) (2019)
Raman Manivannan, Rajendran Samidurai, Jinde Cao, Ahmed Alsaedi, Fuad E. Alsaadi
Design of extended dissipativity state estimation for generalized neural networks with mixed time-varying delay signals. Inf. Sci. 424 (2018)
Rajendran Samidurai, Raman Manivannan, Choon Ki Ahn, Hamid Reza Karimi
New Criteria for Stability of Generalized Neural Networks Including Markov Jump Parameters and Additive Time Delays. IEEE Trans. Syst. Man Cybern. Syst. 48 (4) (2018)
Raman Manivannan, Satyananda Panda, Kil To Chong, Jinde Cao
An Arcak-type state estimation design for time-delayed static neural networks with leakage term based on unified criteria. Neural Networks 106 (2018)
Raman Manivannan, G. Mahendrakumar, Rajendran Samidurai, Jinde Cao, Ahmed Alsaedi
Exponential stability and extended dissipativity criteria for generalized neural networks with interval time-varying delay signals. J. Frankl. Inst. 354 (11) (2017)
Raman Manivannan, Rajendran Samidurai, Quanxin Zhu
Further improved results on stability and dissipativity analysis of static impulsive neural networks with interval time-varying delays. J. Frankl. Inst. 354 (14) (2017)
Raman Manivannan, Rajendran Samidurai, Ramalingam Sriraman
An improved delay-partitioning approach to stability criteria for generalized neural networks with interval time-varying delays. Neural Comput. Appl. 28 (11) (2017)
Raman Manivannan, Rajendran Samidurai, Jinde Cao, Ahmed Alsaedi, Fuad E. Alsaadi
Global exponential stability and dissipativity of generalized neural networks with time-varying delay signals. Neural Networks 87 (2017)
Rajendran Samidurai, Raman Manivannan
Delay-range-dependent passivity analysis for uncertain stochastic neural networks with discrete and distributed time-varying delays. Neurocomputing 185 (2016)
Rajendran Samidurai, Raman Manivannan
Robust passivity analysis for stochastic impulsive neural networks with leakage and additive time-varying delay components. Appl. Math. Comput. 268 (2015)