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Govindaraj Venkatesan
Govindaraj Venkatesan
National Institute of Technology Puducherry, Karaikal, INDIA
Verified email at nitpy.ac.in
Title
Cited by
Cited by
Year
Controllability of fractional damped dynamical systems
K Balachandran, V Govindaraj, M Rivero, JJ Trujillo
Applied Mathematics and Computation 257, 66-73, 2015
882015
Controllability results for nonlinear fractional-order dynamical systems
K Balachandran, V Govindaraj, L Rodríguez-Germá, JJ Trujillo
Journal of Optimization Theory and Applications 156, 33-44, 2013
772013
Dynamics of generalized Caputo type delay fractional differential equations using a modified Predictor-Corrector scheme
Z Odibat, VS Erturk, P Kumar, V Govindaraj
Physica Scripta 96 (12), 125213, 2021
542021
Controllability of nonlinear higher order fractional dynamical systems
K Balachandran, V Govindaraj, L Rodriguez-Germa, JJ Trujillo
Nonlinear Dynamics 71, 605-612, 2013
502013
Some novel mathematical analysis on a corneal shape model by using Caputo fractional derivative
VS Erturk, A Ahmadkhanlu, P Kumar, V Govindaraj
Optik 261, 169086, 2022
472022
An optimal control problem for mosaic disease via Caputo fractional derivative
M Vellappandi, P Kumar, V Govindaraj, W Albalawi
Alexandria Engineering Journal 61 (10), 8027-8037, 2022
462022
Numerical controllability of fractional dynamical systems
K Balachandran, V Govindaraj
Optimization 63 (8), 1267-1279, 2014
412014
A delayed plant disease model with Caputo fractional derivatives
P Kumar, D Baleanu, VS Erturk, M Inc, V Govindaraj
Advances in Continuous and Discrete Models 11, 1-22, 2022
402022
Fractional modeling of plankton-oxygen dynamics under climate change by the application of a recent numerical algorithm
P Kumar, VS Erturk, R Banerjee, M Yavuz, V Govindaraj
Physica Scripta 96 (12), 124044, 2021
342021
A novel optimization-based physics-informed neural network scheme for solving fractional differential equations
SM Sivalingam, P Kumar, V Govindaraj
Engineering with Computers, 1-11, 2023
33*2023
Controllability of fractional dynamical systems: A functional analytic approach
V Govindaraj, RK George
Mathematical Control and Related Fields 4 (7), 537-562, 2017
322017
Observability and controllability of fractional linear dynamical systems
K Balachandran, V Govindaraj, MD Ortigueira, M Rivero, JJ Trujillo
IFAC Proceedings Volumes 46 (1), 893-898, 2013
292013
Role of fractional derivatives in the mathematical modeling of the transmission of Chlamydia in the United States from 1989 to 2019
M Vellappandi, P Kumar, V Govindaraj
Nonlinear Dynamics 111 (5), 4915-4929, 2023
282023
A neural networks-based numerical method for the generalized Caputo-type fractional differential equations
SM Sivalingam, P Kumar, V Govindaraj
Mathematics and Computers in Simulation 213, 302-323, 2023
272023
Trajectory controllability of fractional integro‐differential systems in Hilbert spaces
V Govindaraj, RK George
Asian Journal of Control 20 (5), 1994-2004, 2018
262018
A novel numerical approach for time-varying impulsive fractional differential equations using theory of functional connections and neural network
SM Sivalingam, V Govindaraj
Expert Systems with Applications 238, 121750, 2024
252024
A study on the maize streak virus epidemic model by using optimized linearization-based predictor-corrector method in Caputo sense
P Kumar, VS Erturk, M Vellappandi, H Trinh, V Govindaraj
Chaos, Solitons & Fractals 158, 112067, 2022
252022
Reachability of fractional dynamical systems using ψ-Hilfer pseudo-fractional derivative
J Vanterler, M Vellappandi, V Govindaraj, G Frederico
Journal of Mathematical Physics 62 (8), 082703, 2021
252021
Stabilizability of fractional dynamical systems
K Balachandran, V Govindaraj, L Rodríguez-Germá, JJ Trujillo
Fractional Calculus and Applied Analysis 17, 511-531, 2014
252014
A study on the dynamics of alkali–silica chemical reaction by using Caputo fractional derivative
P Kumar, V Govindaraj, VS Erturk, MH Abdellattif
Pramana 96 (3), 128, 2022
232022
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