Yankai Cao
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An interior-point method for efficient solution of block-structured NLP problems using an implicit Schur-complement decomposition
J Kang, Y Cao, DP Word, CD Laird
Computers & Chemical Engineering 71, 563-573, 2014
Clustering-based preconditioning for stochastic programs
Y Cao, CD Laird, VM Zavala
Computational optimization and applications 64 (2), 379-406, 2016
Machine learning algorithms for liquid crystal-based sensors
Y Cao, H Yu, NL Abbott, VM Zavala
ACS sensors 3 (11), 2237-2245, 2018
Graph-based modeling and simulation of complex systems
J Jalving, Y Cao, VM Zavala
Computers & Chemical Engineering 125, 134-154, 2019
Real-time feasible multi-objective optimization based nonlinear model predictive control of particle size and shape in a batch crystallization process
Y Cao, D Acevedo, ZK Nagy, CD Laird
Control Engineering Practice 69, 1-8, 2017
Scalable modeling and solution of stochastic multiobjective optimization problems
Y Cao, LF Fuentes-Cortes, S Chen, VM Zavala
Computers & Chemical Engineering 99, 185-197, 2017
A scalable global optimization algorithm for stochastic nonlinear programs
Y Cao, VM Zavala
Journal of Global Optimization 75 (2), 393-416, 2019
Using stochastic programming and statistical extrapolation to mitigate long-term extreme loads in wind turbines
Y Cao, VM Zavala, F D’Amato
Applied energy 230, 1230-1241, 2018
Optimal pid controller tuning using stochastic programming techniques
JA Renteria, Y Cao, AW Dowling, VM Zavala
AIChE Journal 64 (8), 2997-3010, 2018
An augmented Lagrangian interior-point approach for large-scale NLP problems on graphics processing units
Y Cao, A Seth, CD Laird
Computers & Chemical Engineering 85, 76-83, 2016
Multiscale model predictive control of battery systems for frequency regulation markets using physics-based models
Y Cao, SB Lee, VR Subramanian, VM Zavala
Journal of Process Control 90, 46-55, 2020
A sigmoidal approximation for chance-constrained nonlinear programs
Y Cao, VM Zavala
arXiv preprint arXiv:2004.02402, 2020
Scalable solution strategies for chance-constrained nonlinear programs
J Tovar-Facio, Y Cao, JM Ponce-Ortega, VM Zavala
Industrial & Engineering Chemistry Research 57 (23), 7987-7998, 2018
Parallel solution of robust nonlinear model predictive control problems in batch crystallization
Y Cao, J Kang, ZK Nagy, CD Laird
Processes 4 (3), 20, 2016
Arcobacter Identification and Species Determination Using Raman Spectroscopy Combined with Neural Networks
K Wang, L Chen, X Ma, L Ma, KC Chou, Y Cao, IUH Khan, G Gölz, X Lu
Applied and environmental microbiology 86 (20), e00924-20, 2020
A graph-based modeling and optimization framework for complex systems
J Jalving, Y Cao, VM Zavala
2017 AIChE Annual Meeting, 2017
A New Global Solver for Transmission Expansion Planning with AC Network Model
M Mehrtash, Y Cao
IEEE Transactions on Power Systems, 2021
Supply reliability assessment of a gas pipeline network under stochastic demands
Q Chen, L Zuo, C Wu, Y Cao, Y Bu, F Chen, R Sadiq
Reliability Engineering & System Safety 209, 107482, 2021
Multi-objective transient peak shaving optimization of a gas pipeline system under demand uncertainty
Q Chen, C Wu, L Zuo, M Mehrtash, Y Wang, Y Bu, R Sadiq, Y Cao
Computers & Chemical Engineering 147, 107260, 2021
1 Optimal Device Sizing for Zero Energy Buildings: Sensitivity of Nonlinear Model to Uncertainties
M Mehrtash, G Mozafari, Y Li, Y Cao
2021 IEEE Texas Power and Energy Conference (TPEC), 1-6, 2021
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