Decentralized schemes with overlap for solving graph-structured optimization problems S Shin, VM Zavala, M Anitescu IEEE Transactions on Control of Network Systems 7 (3), 1225-1236, 2020 | 34 | 2020 |
Exponential decay of sensitivity in graph-structured nonlinear programs S Shin, M Anitescu, VM Zavala SIAM Journal on Optimization 32 (2), 1156-1183, 2022 | 26 | 2022 |
A graph-based modeling abstraction for optimization: Concepts and implementation in plasmo. jl J Jalving, S Shin, VM Zavala Mathematical Programming Computation 14 (4), 699-747, 2022 | 25 | 2022 |
On the convergence of overlapping Schwarz decomposition for nonlinear optimal control S Na, S Shin, M Anitescu, VM Zavala IEEE Transactions on Automatic Control, 2022 | 24* | 2022 |
Graph-based modeling and decomposition of energy infrastructures S Shin, C Coffrin, K Sundar, VM Zavala IFAC-PapersOnLine 54 (3), 693-698, 2021 | 24 | 2021 |
Diffusing-horizon model predictive control S Shin, VM Zavala IEEE Transactions on Automatic Control 68 (1), 188-201, 2021 | 23 | 2021 |
A parallel decomposition scheme for solving long-horizon optimal control problems S Shin, T Faulwasser, M Zanon, VM Zavala 2019 58th IEEE Conference on Decision and Control (CDC), 5264-5271, 2019 | 23 | 2019 |
A hierarchical optimization architecture for large-scale power networks S Shin, P Hart, T Jahns, VM Zavala IEEE Transactions on Control of Network Systems 6 (3), 1004-1014, 2019 | 23 | 2019 |
Scalable nonlinear programming framework for parameter estimation in dynamic biological system models S Shin, OS Venturelli, VM Zavala PLoS computational biology 15 (3), e1006828, 2019 | 19 | 2019 |
Near-optimal distributed linear-quadratic regulator for networked systems S Shin, Y Lin, G Qu, A Wierman, M Anitescu SIAM Journal on Control and Optimization 61 (3), 1113-1135, 2023 | 16 | 2023 |
Multi-grid schemes for multi-scale coordination of energy systems S Shin, VM Zavala Energy Markets and Responsive Grids: Modeling, Control, and Optimization …, 2018 | 12 | 2018 |
Diagnosis of partial blockage in water pipeline using support vector machine with fault-characteristic peaks in frequency domain DS Kim, S Shin, GB Choi, KH Jang, JC Suh, JM Lee Canadian Journal of Civil Engineering 44 (9), 707-714, 2017 | 11 | 2017 |
Accelerating condensed interior-point methods on SIMD/GPU architectures F Pacaud, S Shin, M Schanen, DA Maldonado, M Anitescu Journal of Optimization Theory and Applications, 1-20, 2023 | 9 | 2023 |
Controllability and Observability Imply Exponential Decay of Sensitivity in Dynamic Optimization S Shin, VM Zavala arXiv preprint arXiv:2101.06350, 2021 | 9 | 2021 |
Overlapping Schwarz decomposition for constrained quadratic programs S Shin, M Anitescu, VM Zavala 2020 59th IEEE Conference on Decision and Control (CDC), 3004-3009, 2020 | 8 | 2020 |
Accelerating optimal power flow with gpus: Simd abstraction of nonlinear programs and condensed-space interior-point methods S Shin, F Pacaud, M Anitescu arXiv preprint arXiv:2307.16830, 2023 | 5 | 2023 |
A feasible reduced space method for real-time optimal power flow F Pacaud, DA Maldonado, S Shin, M Schanen, M Anitescu Electric Power Systems Research 212, 108268, 2022 | 5 | 2022 |
Unifying theorems for subspace identification and dynamic mode decomposition S Shin, Q Lu, VM Zavala arXiv preprint arXiv:2003.07410, 2020 | 5 | 2020 |
Characterizing the predictive accuracy of dynamic mode decomposition for data-driven control Q Lu, S Shin, VM Zavala IFAC-PapersOnLine 53 (2), 11289-11294, 2020 | 5 | 2020 |
Parallel interior-point solver for block-structured nonlinear programs on SIMD/GPU architectures F Pacaud, M Schanen, S Shin, DA Maldonado, M Anitescu Optimization Methods and Software, 1-24, 2024 | 4 | 2024 |