Mittag-Leffler stability analysis of multiple equilibrium points in impulsive fractional-order quaternion-valued neural networks. - K. Udhayakumar 001; R. Rakkiyappan; Jinde Cao; Xuegang Tan (Frontiers Inf. Technol. Electron. Eng., 2020)

Quasi-Synchronization and Bifurcation Results on Fractional-Order Quaternion-Valued Neural Networks. - Udhayakumar Kandasamy; Xiaodi Li 001; Rajan Rakkiyappan (IEEE Trans. Neural Networks Learn. Syst., 2020)

Mutiple ψ-type stability of fractional-order quaternion-valued neural networks. - K. Udhayakumar 001; R. Rakkiyappan; Xiaodi Li 001; Jinde Cao (Appl. Math. Comput., 2021)

New Fixed-Time Stability Theorems for Delayed Fractional-Order Systems and Applications. - Udhayakumar Kandasamy; Fathalla A. Rihan; Rajan Rakkiyappan; Mahmoud M. El-Khouly (IEEE Access, 2022)

Centralized and decentralized controller design for synchronization of coupled delayed inertial neural networks via reduced and non-reduced orders. - S. Shanmugasundaram; Ardak Kashkynbayev; K. Udhayakumar 001; R. Rakkiyappan (Neurocomputing, 2022)

Event-triggered impulsive control design for synchronization of inertial neural networks with time delays. - S. Shanmugasundaram; Udhayakumar Kandasamy; D. Gunasekaran; R. Rakkiyappan (Neurocomputing, 2022)

Projective Multi-Synchronization of Fractional-order Complex-valued Coupled Multi-stable Neural Networks with Impulsive Control. - K. Udhayakumar 001; R. Rakkiyappan; Fathalla A. Rihan; Santo Banerjee (Neurocomputing, 2022)

Fixed-time synchronization of delayed impulsive inertial neural networks with discontinuous activation functions via indefinite LKF method. - K. Udhayakumar 001; S. Shanmugasundaram; K. Janani; S. Kathiresan; R. Rakkiyappan (J. Frankl. Inst., 2022)

Memory sampled data control for switched-type neural networks and its application in image secure communications. - Yang Cao 003; K. Udhayakumar 001; Kumarasamy Pradeepa Veerakumari; R. Rakkiyappan (Math. Comput. Simul., 2022)

Fractional-order discontinuous systems with indefinite LKFs: An application to fractional-order neural networks with time delays. - K. Udhayakumar 001; Fathalla A. Rihan; R. Rakkiyappan; Jinde Cao (Neural Networks, 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]. - K. Udhayakumar 001; Fathalla A. Rihan; R. Rakkiyappan; Jinde Cao (Neural Networks, 2022)

Stability and Bifurcation Analysis of the Caputo Fractional-Order Asymptomatic COVID-19 Model with Multiple Time-Delays. - Fathalla A. Rihan; K. Udhayakumar 001; Nicola Sottocornola; M. Naim Anwar; Abdul Q. M. Khaliq (Int. J. Bifurc. Chaos, 2023)

A Comprehensive Review of Continuous-/Discontinuous-Time Fractional-Order Multidimensional Neural Networks. - Jinde Cao; Udhayakumar Kandasamy; R. Rakkiyappan; Xiaodi Li 001; Jianquan Lu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Chaotic synchronization and fractal interpolation-based image encryption: exploring event-triggered impulsive control in variable-order fractional lur'e systems. - T. M. C. Priyanka; K. Udhayakumar 001; S. S. Mohanrasu; A. Gowrisankar; R. Rakkiyappan (Multim. Tools Appl., 2024)

Fractional derivative of Hermite fractal splines on the fractional-order delayed neural networks synchronization. - S. S. Mohanrasu; T. M. C. Priyanka; A. Gowrisankar; Ardak Kashkynbayev; K. Udhayakumar 001; R. Rakkiyappan (Commun. Nonlinear Sci. Numer. Simul., 2025)