Udhayakumar Kandasamy

Orcid: 0000-0001-5764-1990

Affiliations:
  • Bharathiar University, Department of Mathematics, Tamilnadu, India


According to our database1, Udhayakumar Kandasamy authored at least 13 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A Comprehensive Review of Continuous-/Discontinuous-Time Fractional-Order Multidimensional Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Stability and Bifurcation Analysis of the Caputo Fractional-Order Asymptomatic COVID-19 Model with Multiple Time-Delays.
Int. J. Bifurc. Chaos, February, 2023

2022
Corrigendum to "Fractional-order discontinuous systems with indefinite LKFs: An application to fractional-order neural networks with time delays" [Neural Networks 145 (2022) 319-330].
Neural Networks, 2022

Fractional-order discontinuous systems with indefinite LKFs: An application to fractional-order neural networks with time delays.
Neural Networks, 2022

Memory sampled data control for switched-type neural networks and its application in image secure communications.
Math. Comput. Simul., 2022

Fixed-time synchronization of delayed impulsive inertial neural networks with discontinuous activation functions via indefinite LKF method.
J. Frankl. Inst., 2022

Projective Multi-Synchronization of Fractional-order Complex-valued Coupled Multi-stable Neural Networks with Impulsive Control.
Neurocomputing, 2022

Event-triggered impulsive control design for synchronization of inertial neural networks with time delays.
Neurocomputing, 2022

Centralized and decentralized controller design for synchronization of coupled delayed inertial neural networks via reduced and non-reduced orders.
Neurocomputing, 2022

New Fixed-Time Stability Theorems for Delayed Fractional-Order Systems and Applications.
IEEE Access, 2022

2021
Mutiple ψ-type stability of fractional-order quaternion-valued neural networks.
Appl. Math. Comput., 2021

2020
Quasi-Synchronization and Bifurcation Results on Fractional-Order Quaternion-Valued Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2020

Mittag-Leffler stability analysis of multiple equilibrium points in impulsive fractional-order quaternion-valued neural networks.
Frontiers Inf. Technol. Electron. Eng., 2020


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