Decentralized guaranteed cost dynamic control for synchronization of a complex dynamical network with randomly switching topology. - Tae H. Lee; D. H. Ji; Ju H. Park 001; Ho Y. Jung (Appl. Math. Comput., 2012)

Guaranteed cost synchronization of a complex dynamical network via dynamic feedback control. - Tae H. Lee; Ju H. Park 001; Daehyun Ji; O. M. Kwon 001; Sang-Moon Lee 001 (Appl. Math. Comput., 2012)

Synchronization of a complex dynamical network with coupling time-varying delays via sampled-data control. - Tae H. Lee; Zhengguang Wu; Ju H. Park 001 (Appl. Math. Comput., 2012)

State estimation for genetic regulatory networks with time-varying delay using stochastic sampled-data. - Tae H. Lee; Myeong-Jin Park; O. M. Kwon 001; Ju H. Park 001; Sang-Moon Lee 001 (ASCC, 2013)

Leader-following consensus control for Markovian switching multi-agent systems with interval time-varying delays. - Myeong-Jin Park; O. M. Kwon 001; Ju H. Park 001; Sang-Moon Lee 001; Eun-Jong Cha; Tae H. Lee (ASCC, 2013)

Stability criteria for BAM neural networks with leakage delays and probabilistic time-varying delays. - Shanmugam Lakshmanan; Ju H. Park 001; Tae H. Lee; Ho Y. Jung; R. Rakkiyappan (Appl. Math. Comput., 2013)

Robust synchronisation of chaotic systems with randomly occurring uncertainties via stochastic sampled-data control. - Tae H. Lee; Ju H. Park 001; Sang-Moon Lee 001; Oh-Min Kwon 001 (Int. J. Control, 2013)

Stochastic sampled-data control for state estimation of time-varying delayed neural networks. - Tae H. Lee; Ju H. Park 001; O. M. Kwon 001; Sang-Moon Lee 001 (Neural Networks, 2013)

H∞ tracking of uncertain stochastic time-delay systems: Memory state-feedback controller design. - Jian-Wei Xia; Ju H. Park 001; Tae H. Lee; Baoyong Zhang (Appl. Math. Comput., 2014)

Leader-following consensus problem of heterogeneous multi-agent systems with nonlinear dynamics using fuzzy disturbance observer. - Tae H. Lee; Ju H. Park 001; D. H. Ji; Ho Y. Jung (Complex., 2014)

Robust sampled-data control with random missing data scenario. - Tae H. Lee; Ju H. Park 001; Sang-Moon Lee 001; O. M. Kwon 001 (Int. J. Control, 2014)

Extended Dissipative Analysis for Neural Networks With Time-Varying Delays. - Tae H. Lee; Myeong-Jin Park; Ju H. Park 001; Oh-Min Kwon 001; Sang-Moon Lee 001 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Network based H∞ filtering via imperfect measurement output. - Tae H. Lee; Ju H. Park 001 (CCA, 2015)

Improving security in communication switched chaotic systems. - Tae H. Lee; Ju H. Park 001; Ho-Youl Jung; Sang-Moon Lee 001 (ICCE, 2015)

Pinning control for cluster synchronisation of complex dynamical networks with semi-Markovian jump topology. - Tae H. Lee; Qian Ma 001; Shengyuan Xu 001; Ju H. Park 001 (Int. J. Control, 2015)

On stability criteria for neural networks with time-varying delay using Wirtinger-based multiple integral inequality. - Tae H. Lee; Ju H. Park 001; Myeong-Jin Park; Oh-Min Kwon 001; Ho-Youl Jung (J. Frankl. Inst., 2015)

Recognizing system parameters in stochastic complex networks using adaptive synchronization. - Ze Tang 001; Ju H. Park 001; Tae H. Lee; Ho Y. Jung (CDC, 2016)

Dynamic output-feedback-based H∞ design for networked control systems with multipath packet dropouts. - Ze Tang 001; Ju H. Park 001; Tae H. Lee (Appl. Math. Comput., 2016)

Distributed adaptive pinning control for cluster synchronization of nonlinearly coupled Lur'e networks. - Ze Tang 001; Ju H. Park 001; Tae H. Lee (Commun. Nonlinear Sci. Numer. Simul., 2016)

Mean square exponential synchronization for impulsive coupled neural networks with time-varying delays and stochastic disturbances. - Ze Tang 001; Ju H. Park 001; Tae H. Lee; Jianwen Feng (Complex., 2016)

An improved stability criterion for generalized neural networks with additive time-varying delays. - R. Rakkiyappan; Sivasamy Ramasamy; Ju H. Park 001; Tae H. Lee (Neurocomputing, 2016)

Non-fragile observer-based passive control for discrete-time systems with repeated scalar non-linearities. - G. Arthi; Tae H. Lee; Ju H. Park 001; Ho Y. Jung (IMA J. Math. Control. Inf., 2016)

H∞ based state feedback robust controller for nonlinear tele-operation system with variable time-delays. - Saba Al-Wais; Tae H. Lee; Shanmugam Lakshmanan; Hamid Abdi; Saeid Nahavandi (ASCC, 2017)

A novel Lyapunov functional for stability of time-varying delay systems via matrix-refined-function. - Tae H. Lee; Ju H. Park 001 (Autom., 2017)

Relaxed conditions for stability of time-varying delay systems. - Tae H. Lee; Ju H. Park 001; Shengyuan Xu 001 (Autom., 2017)

Networked control system with asynchronous samplings and quantizations in both transmission and receiving channels. - Tae H. Lee; Jianwei Xia; Ju H. Park 001 (Neurocomputing, 2017)

Stability Analysis of Sampled-Data Systems via Free-Matrix-Based Time-Dependent Discontinuous Lyapunov Approach. - Tae H. Lee; Ju H. Park 001 (IEEE Trans. Autom. Control., 2017)

Network-based H∞ state estimation for neural networks using imperfect measurement. - Tae H. Lee; Ju H. Park 001; Ho-Youl Jung (Appl. Math. Comput., 2018)

Network-based synchronization of T-S fuzzy chaotic systems with asynchronous samplings. - Tae H. Lee; Chee Peng Lim; Saeid Nahavandi; Ju H. Park 001 (J. Frankl. Inst., 2018)

Improved stability conditions of time-varying delay systems based on new Lyapunov functionals. - Tae H. Lee; Ju H. Park 001 (J. Frankl. Inst., 2018)

Stability Analysis of Neural Networks With Time-Varying Delay by Constructing Novel Lyapunov Functionals. - Tae H. Lee; Hieu Minh Trinh; Ju H. Park 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

New Methods of Fuzzy Sampled-Data Control for Stabilization of Chaotic Systems. - Tae H. Lee; Ju H. Park 001 (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Observer-Based $ mathcal{H}_{ infty }$ Fault-Tolerant Control for Linear Systems With Sensor and Actuator Faults. - Tae H. Lee; Chee Peng Lim; Saeid Nahavandi; Rodney G. Roberts (IEEE Syst. J., 2019)

Geometry-Based Conditions for a Quadratic Function: Application to Stability of Time-Varying Delay Systems. - Tae H. Lee (IEEE Access, 2020)

A Nonlinear Observer for Robust Fault Reconstruction in One-Sided Lipschitz and Quadratically Inner-Bounded Nonlinear Descriptor Systems. - Joseph Chang Lun Chan; Tae H. Lee; Chee Pin Tan; Hieu Trinh; Ju H. Park 001 (IEEE Access, 2021)

An improved stability criterion of neural networks with time-varying delays in the form of quadratic function using novel geometry-based conditions. - Tae H. Lee; Myeong-Jin Park; Ju H. Park 001 (Appl. Math. Comput., 2021)

Erratum to "An improved stability criterion of neural networks with time-varying delays in the form of quadratic function using novel geometry-based conditions" [Appl. Math. Compt. 404 (2021) 126226]. - Tae H. Lee; Myeong-Jin Park; Ju H. Park 001 (Appl. Math. Comput., 2021)

Observer-based fault-tolerant control for non-infinitely observable descriptor systems with unknown time-varying state and input delays. - Joseph Chang Lun Chan; Tae H. Lee (Appl. Math. Comput., 2022)

Secure Communication Through a Chaotic System and a Sliding-Mode Observer. - Joseph Chang Lun Chan; Tae H. Lee; Chee Pin Tan (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Novel inequality-based functions for the stability of time-varying delay systems. - Tae H. Lee; Ju H. Park 001 (J. Frankl. Inst., 2023)

Generalized delay-dependent reciprocally convex inequality on stability for neural networks with time-varying delay. - S. Arunagirinathan; Tae H. Lee (Math. Comput. Simul., 2024)

A novel fractional-order neutral-type two-delayed neural network: Stability, bifurcation, and numerical solution. - Pushpendra Kumar 001; Tae H. Lee; Vedat Suat Ertürk (Math. Comput. Simul., 2025)

A fractional-order multi-delayed bicyclic crossed neural network: Stability, bifurcation, and numerical solution. - Pushpendra Kumar 001; Tae H. Lee; Vedat Suat Ertürk (Neural Networks, 2025)

Secure Multiplicative Sampled-Data Control for T-S Fuzzy-Based Cyber-Physical Systems Subject to Deception Attacks. - S. Arunagirinathan; Shanmugam Lakshmanan; Tae H. Lee (Circuits Syst. Signal Process., 2025)

Fractional Exponent-Based Looped-Lyapunov Functional for Mode-Dependent Sampled-Data Control of T-S Fuzzy Markovian Jump Systems With $ mathscr {H}_{ infty }$ Performance. - Karpagavalli Sundararajan; Padmaja Narasimman; Tae H. Lee; Shanmugam Lakshmanan (IEEE Trans. Fuzzy Syst., 2025)