| A fuzzy Lyapunov function approach to estimating the domain of attraction for continuous-time Takagi–Sugeno fuzzy systems DH Lee, JB Park, YH Joo Information Sciences 185 (1), 230-248, 2012 | 132 | 2012 |
| A new fuzzy Lyapunov function for relaxed stability condition of continuous-time Takagi–Sugeno fuzzy systems DH Lee, JB Park, YH Joo IEEE Transactions on Fuzzy Systems 19 (4), 785-791, 2011 | 120 | 2011 |
| Improvement on nonquadratic stabilization of discrete-time Takagi–Sugeno fuzzy systems: Multiple-parameterization approach DH Lee, JB Park, YH Joo IEEE Transactions on Fuzzy Systems 18 (2), 425-429, 2010 | 108 | 2010 |
| Optimization for reinforcement learning: From a single agent to cooperative agents D Lee, N He, P Kamalaruban, V Cevher IEEE Signal Processing Magazine 37 (3), 123-135, 2020 | 102 | 2020 |
| Local stability analysis of continuous-time Takagi–Sugeno fuzzy systems: A fuzzy Lyapunov function approach DH Lee, YH Joo, MH Tak Information Sciences 257, 163-175, 2014 | 102 | 2014 |
| Approaches to extended non-quadratic stability and stabilization conditions for discrete-time Takagi–Sugeno fuzzy systems DH Lee, JB Park, YH Joo Automatica 47 (3), 534-538, 2011 | 83 | 2011 |
| Relaxed LMI conditions for local stability and local stabilization of continuous-time Takagi–Sugeno fuzzy systems DH Lee IEEE Transactions on Cybernetics 44 (3), 394-405, 2013 | 82 | 2013 |
| On the generalized local stability and local stabilization conditions for discrete-time Takagi–Sugeno fuzzy systems DH Lee, YH Joo IEEE Transactions on Fuzzy Systems 22 (6), 1654-1668, 2014 | 70 | 2014 |
| Primal-dual algorithm for distributed reinforcement learning: Distributed GTD D Lee, H Yoon, N Hovakimyan 2018 IEEE Conference on Decision and Control (CDC), 1967-1972, 2018 | 60 | 2018 |
| Primal-dual Q-learning framework for LQR design D Lee, J Hu IEEE Transactions on Automatic Control 64 (9), 3756-3763, 2018 | 55 | 2018 |
| Robust H ∞ control for uncertain nonlinear active magnetic bearing systems via Takagi-Sugeno fuzzy models DH Lee, JB Park, YH Joo, KC Lin, CH Ham International Journal of Control, Automation and Systems 8, 636-646, 2010 | 49 | 2010 |
| Periodically Time-Varying Memory Filter Design for Discrete-Time LTI Systems With Polytopic Uncertainty DH Lee, YH Joo, MH Tak IEEE Transactions on Automatic Control 59 (5), 1380-1385, 2013 | 43 | 2013 |
| Target-based temporal-difference learning D Lee, N He International Conference on Machine Learning, 3713-3722, 2019 | 41 | 2019 |
| Further improvement of periodic control approach for relaxed stabilization condition of discrete-time Takagi–Sugeno fuzzy systems DH Lee, JB Park, YH Joo Fuzzy Sets and Systems 174 (1), 50-65, 2011 | 41 | 2011 |
| Extended robust and filter design for discrete time-invariant linear systems with polytopic uncertainty DH Lee, YH Joo Circuits, Systems, and Signal Processing 33 (2), 393-419, 2014 | 31 | 2014 |
| An improved finite frequency approach to robust filter design for LTI systems with polytopic uncertainties DH Lee International Journal of Adaptive Control and Signal Processing 27 (11), 944-956, 2013 | 29 | 2013 |
| A unified switching system perspective and convergence analysis of Q-learning algorithms D Lee, N He Advances in Neural Information Processing Systems 33, 15556-15567, 2020 | 28 | 2020 |
| A note on sampled-data stabilization of LTI systems with aperiodic sampling DH Lee, YH Joo IEEE Transactions on Automatic Control 60 (10), 2746-2751, 2015 | 28 | 2015 |
| Local model predictive control for T–S fuzzy systems D Lee, J Hu IEEE Transactions on Cybernetics 47 (9), 2556-2567, 2016 | 27 | 2016 |
| LMI conditions for local stability and stabilization of continuous-time TS fuzzy systems DH Lee, YH Joo, MH Tak International Journal of Control, Automation and Systems 13 (4), 986-994, 2015 | 25 | 2015 |
Jianghai HuSchool of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
