Sangwoo Park
Orcid: 0000-0002-0355-7272Affiliations:
- New Jersey Institute of Technology, Newark, NJ, USA
- University of California, Department of Industrial Engineering and Operations Research, Berkeley, CA, USA (PhD 2022)
According to our database1,
Sangwoo Park authored at least 16 papers
between 2019 and 2026.
Collaborative distances:
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Bibliography
2026
Stability Guarantees for Data-Driven Predictive Control of Nonlinear Systems via Approximate Koopman Embeddings.
CoRR, March, 2026
Stability of Data-Driven Predictive Control for Nonlinear Systems via Koopman Embeddings.
IEEE Control. Syst. Lett., 2026
2025
Distributed Optimization and Distributed Learning: A Paradigm Shift for Power Systems.
IEEE Syst. J., December, 2025
Assessing the Value of Heterogeneous Elasticities for Incentive-Based Residential Demand Response.
IEEE Access, 2025
Learning Koopman Observables via Kolmogorov-Arnold Networks for Power System Transient Analysis and Model Predictive Control.
Proceedings of the 64th IEEE Conference on Decision and Control, 2025
2024
2023
Dynamic Regret Bounds for Constrained Online Nonconvex Optimization Based on Polyak-Lojasiewicz Regions.
IEEE Trans. Control. Netw. Syst., June, 2023
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023
2022
IEEE Trans. Control. Netw. Syst., 2022
An Efficient Homotopy Method for Solving the Post-Contingency Optimal Power Flow to Global Optimality.
IEEE Access, 2022
2021
IEEE Trans. Control. Netw. Syst., 2021
Nonlinear Least Absolute Value Estimator for Topology Error Detection and Robust State Estimation.
IEEE Access, 2021
Proceedings of the 2021 American Control Conference, 2021
2020
Homotopy Method for Finding the Global Solution of Post-contingency Optimal Power Flow.
Proceedings of the 2020 American Control Conference, 2020
2019
Monotonicity Between Phase Angles and Power Flow and Its Implications for the Uniqueness of Solutions.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
Topology Error Detection and Robust State Estimation Using Nonlinear Least Absolute Value.
Proceedings of the 2019 American Control Conference, 2019