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ISA Transactions|December 20, 2025
Looped functional approach to finite-horizon hybrid control for networked switched fuzzy systems with fault indicators and cyber attacksN Aravinth, R Sakthivel, O M KwonNeural Networks : the Official Journal of the International Neural Network Society|February 13, 2019
Disturbance and uncertainty rejection performance for fractional-order complex dynamical networksP Selvaraj, O M Kwon, R SakthivelNeural Networks : the Official Journal of the International Neural Network Society|June 11, 2018
Finite-time synchronization of stochastic coupled neural networks subject to Markovian switching and input saturationP Selvaraj, R Sakthivel, O M KwonISA Transactions|July 7, 2024
Improvements on stability criteria for linear systems with a time-varying delay via novel delay-dependent Lyapunov functionalsS H Lee, M J Park, O M KwonISA Transactions|March 5, 2019
Estimation and disturbance rejection performance for fractional order fuzzy systemsR Sakthivel, K Raajananthini, O M Kwon, et al.IEEE Transactions on Cybernetics|September 4, 2020
Some Novel Results on Stability Analysis of Generalized Neural Networks With Time-Varying Delays via Augmented ApproachO M Kwon, S H Lee, M J ParkNeural Networks : the Official Journal of the International Neural Network Society|July 23, 2018
Passivity and stability analysis of neural networks with time-varying delays via extended free-weighting matrices integral inequalityM J Park, O M Kwon, J H RyuThescientificworldjournal|July 14, 2015
Consensus of Nonlinear Complex Systems with Edge Betweenness Centrality Measure under Time-Varying Sampled-Data ProtocolM J Park, O M Kwon, E J ChaISA Transactions|October 17, 2023
Composite fault reconstruction and fault-tolerant control design for cyber-physical systems: An interval type-2 fuzzy approachR Sakthivel, S Anusuya, O M Kwon, et al.Neural Networks : the Official Journal of the International Neural Network Society|July 11, 2021
Equivalent-input-disturbance estimator-based event-triggered control design for master-slave neural networksP Selvaraj, O M Kwon, S H Lee, et al.Pageof 2