ติดตาม
Sungho Shin
ชื่อ
อ้างโดย
อ้างโดย
ปี
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
422020
Exponential decay of sensitivity in graph-structured nonlinear programs
S Shin, M Anitescu, VM Zavala
SIAM Journal on Optimization 32 (2), 1156-1183, 2022
392022
Diffusing-horizon model predictive control
S Shin, VM Zavala
IEEE Transactions on Automatic Control 68 (1), 188-201, 2021
302021
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
292022
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
292019
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
282019
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
27*2022
Graph-based modeling and decomposition of energy infrastructures
S Shin, C Coffrin, K Sundar, VM Zavala
IFAC-PapersOnLine 54 (3), 693-698, 2021
272021
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
262019
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
252023
Accelerating optimal power flow with GPUs: SIMD abstraction of nonlinear programs and condensed-space interior-point methods
S Shin, M Anitescu, F Pacaud
Electric Power Systems Research 236, 110651, 2024
172024
Controllability and Observability Imply Exponential Decay of Sensitivity in Dynamic Optimization
S Shin, VM Zavala
arXiv preprint arXiv:2101.06350, 2021
152021
Multi-grid schemes for multi-scale coordination of energy systems
S Shin, VM Zavala
Energy Markets and Responsive Grids: Modeling, Control, and Optimization …, 2018
152018
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
132017
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 202 (1), 184-203, 2024
122024
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
92020
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
82022
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 39 (4), 874-897, 2024
62024
Unifying theorems for subspace identification and dynamic mode decomposition
S Shin, Q Lu, VM Zavala
arXiv preprint arXiv:2003.07410, 2020
62020
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
62020
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บทความ 1–20