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Disambiguation of "Manivannan, Raman"

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

, , , , and . Neural Networks, (2017)

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Siyamalan Manivannan

Madhavan Manivannan

Sreenath Ramanath

Aravamudhan Raman

Natraj Raman

 

Other publications of authors with the same name

Design of Resilient Reliable Dissipativity Control for Systems With Actuator Faults and Probabilistic Time-Delay Signals via Sampled-Data Approach., , , and . IEEE Trans. Syst. Man Cybern. Syst., 50 (11): 4243-4255 (2020)Further improved results on stability and dissipativity analysis of static impulsive neural networks with interval time-varying delays., , and . J. Frankl. Inst., 354 (14): 6312-6340 (2017)Delay-range-dependent passivity analysis for uncertain stochastic neural networks with discrete and distributed time-varying delays., and . Neurocomputing, (2016)Quasi-stability and quasi-synchronization control of quaternion-valued fractional-order discrete-time memristive neural networks., , , and . Appl. Math. Comput., (2021)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): 5832-5856 (2023)Global exponential stability and dissipativity of generalized neural networks with time-varying delay signals., , , , and . Neural Networks, (2017)Extended Dissipativity Performance of High-Speed Train Including Actuator Faults and Probabilistic Time-Delays Under Resilient Reliable Control., , , and . IEEE Trans. Syst. Man Cybern. Syst., 51 (6): 3808-3819 (2021)Generalized dissipativity state estimation for genetic regulatory networks with interval time-delay signals and leakage delays., , and . Commun. Nonlinear Sci. Numer. Simul., (2020)An improved delay-partitioning approach to stability criteria for generalized neural networks with interval time-varying delays., , and . Neural Comput. Appl., 28 (11): 3353-3369 (2017)Design of extended dissipativity state estimation for generalized neural networks with mixed time-varying delay signals., , , , and . Inf. Sci., (2018)