Donghwan Lee
Affiliations:- KAIST, Department of Electrical Engineering, Daejeon, South Korea
- University of Illinois at Urbana-Champaign, Department of Mechanical Science and Engineering, Champaign, IL, USA
- Purdue University, Department of Electrical and Computer Engineering, West Lafayette, IN, USA (former)
According to our database1,
Donghwan Lee
authored at least 48 papers
between 2015 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Relaxed conditions for parameterized linear matrix inequality in the form of nested fuzzy summations.
Appl. Math. Comput., 2025
2024
Relaxed Conditions for Parameterized Linear Matrix Inequality in the Form of Double Fuzzy Summation.
IEEE Trans. Fuzzy Syst., March, 2024
Optimal stabilizing rates of switched linear control systems under arbitrary known switchings.
Autom., January, 2024
Inf. Sci., 2024
Finite-Time Error Analysis of Online Model-Based Q-Learning with a Relaxed Sampling Model.
CoRR, 2024
Continuous-Time Distributed Dynamic Programming for Networked Multi-Agent Markov Decision Processes.
Proceedings of the 18th IEEE International Conference on Control & Automation, 2024
2023
IEEE Trans. Autom. Control., August, 2023
SIAM J. Control. Optim., June, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Convergence of Dynamic Programming on the Semidefinite Cone for Discrete-Time Infinite-Horizon LQR.
IEEE Trans. Autom. Control., 2022
Finite-Time Analysis of Asynchronous Q-learning under Diminishing Step-Size from Control-Theoretic View.
CoRR, 2022
IEEE Access, 2022
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022
2021
Simulation Studies on Deep Reinforcement Learning for Building Control with Human Interaction.
CoRR, 2021
2020
IEEE Signal Process. Mag., 2020
Autom., 2020
A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
2019
Sequential parametric convex approximation algorithm for bilinear matrix inequality problem.
Optim. Lett., 2019
CoRR, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 2019 American Control Conference, 2019
Proceedings of the 2019 American Control Conference, 2019
2018
IEEE Trans. Autom. Control., 2018
Stabilization of Switched Linear Systems Using Continuous Control Input against Known Adversarial Switching.
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
Approximate Dynamic Programming for Building Control Problems with Occupant Interactions.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
IEEE Trans. Autom. Control., 2017
Resilient Stabilization of Switched Linear Control Systems Against Adversarial Switching.
IEEE Trans. Autom. Control., 2017
Proceedings of the 2017 American Control Conference, 2017
On the graph control Lyapunov function for stabilization of discrete-time switched linear systems.
Proceedings of the 2017 American Control Conference, 2017
2016
Local stabilization of discrete-time T-S fuzzy systems with magnitude- and energy-bounded disturbances.
Inf. Sci., 2016
Local state-feedback stabilization of nonlinear fuzzy systems with measurement errors in the state.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
A sequential parametric convex approximation method for solving bilinear matrix inequalities.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 2016 American Control Conference, 2016
2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015