Donggil Lee


Assistant Professor
Department of Electrical Engineering
Incheon National University, Korea

Google Scholar　dglee@inu.ac.kr
...

Education and Career

Incheon National University

Department of Electrical Engineering
Assistant Professor
Sep. 2024 - Present

Korea Institute of Science and Technology

Artificial Intelligence and Robot Institute - Human Behavior Understanding and Modeling Lab.
Postdoctoral Researcher
Sep. 2023 - Aug. 2024

Seoul National University

Department of Electrical and Computer Engineering - Control and Dynamic Systems Lab.
Combined M.S. and Ph. D. - Control Theory
Mar. 2015 - Aug. 2023

Seoul National University

Department of Physics Education & Department of Electrical and Computer Engineering
B.S. (Double Major)
Mar. 2009 - Feb. 2015

Research Interests

I study control theory, with a focus on:

Multi-agent system

- Distributed control and estimation
- Distributed task allocation


Secure control system

- Resilient estimation
- Encryption of controller


Vehicular system

- Model predictive control

Publications

Journal Papers

Decentralized Design and Plug-and-play Distributed Control for Linear Multi-channel Systems

IEEE Transactions on Automatic Control, vol. 69, no. 5, pp. 2807-2822, 2024
Taekyoo Kim, Donggil Lee, and Hyungbo Shim*
https://doi.org/10.1109/TAC.2023.3293036

Fully Decentralized Design of Initialization-free Distributed Network Size Estimation

arXiv :2401.07472, 2024
Donggil Lee, Taekyoo Kim, Seungjoon Lee, and Hyungbo Shim*
https://arxiv.org/abs/2401.07472

A Design Method of Distributed Algorithms via Discrete-time Blended Dynamics Theorem

Automatica, vol. 159, p. 111371, 2024
Jeong Woo Kim, Jin Gyu Lee, Donggil Lee, and Hyungbo Shim*
https://doi.org/10.1016/j.automatica.2023.111371

Encrypted Dynamic Control Exploiting Limited Number of Multiplications and A Method Using Ring-LWE based Cryptosystem

arXiv:2307.03451, 2023
Joowon Lee, Donggil Lee, Junsoo Kim*, and Hyungbo Shim
https://arxiv.org/abs/2307.03451

Distributed Resilient Observer: Blended Dynamics Theory Meets ℓ1-Minimization Approach

IEEE Control Systems Letters, vol. 7, pp. 2083-2088, 2023
Donggil Lee, Junsoo Kim, and Hyungbo Shim*
https://doi.org/10.1109/LCSYS.2023.3284592

Model Predictive Control Method for Autonomous Vehicles Using Time-varying and Non-uniformly Spaced Horizon

IEEE Access, vol. 9, pp. 86475-86487, 2021
Minsung Kim, Donggil Lee, Joonwoo Ahn, Minsoo Kim, and Jaeheung Park
https://doi.org/10.1109/ACCESS.2021.3088937

Conference Papers

Conversion of Controllers to have Integer State Matrix for Encrypted Control: Non-Minimal Order Approach

62nd IEEE Conference on Decision and Control (CDC), pp. 5091-5096, 2023
Joowon Lee, Donggil Lee, Seungbeom Lee, Junsoo Kim, and Hyungbo Shim
https://doi.org/10.1109/CDC49753.2023.10383200

Exponential Synchronization of Heterogeneous Multi-Agent Systems via Linear-Signum-Type Diffusive Coupling: Blended Dynamics Approach

23rd International Conference on Control, Automation and Systems (ICCAS), pp. 290-294, 2023
Jeong Mo Seong, Donggil Lee, and Hyungbo Shim
https://doi.org/10.23919/ICCAS59377.2023.10316872

Distributed Aggregation over Homomorphically Encrypted Data under Switching Networks

59th IEEE Conference on Decision and Control (CDC), pp. 5495-5500, 2020
Donggil Lee, Junsoo Kim, and Hyungbo Shim
https://doi.org/10.1109/CDC42340.2020.9304350

Distributed Algorithm for the Network Size Estimation: Blended Dynamics Approach

57th IEEE Conference on Decision and Control (CDC), pp. 4577-4582, 2018
Donggil Lee, Seungjoon Lee, Taekyoo Kim, and Hyungbo Shim
https://doi.org/10.1109/CDC.2018.8619676

Contact

Donggil Lee · +82-32-835-8768 · dglee@inu.ac.kr

Building 9, Room 421, Incheon National University
119, Academy-ro, Yeonsu-gu, Incheon, Republic of Korea