Spremljaj
Yankai Cao
Yankai Cao
Assistant Professor, University of British Columbia
Preverjeni e-poštni naslov na ubc.ca - Domača stran
Naslov
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Leto
Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation
J Zhu, Y Wang, Y Huang, R Bhushan Gopaluni, Y Cao, M Heere, ...
Nature communications 13 (1), 2261, 2022
2222022
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
582014
Machine learning algorithms for liquid crystal-based sensors
Y Cao, H Yu, NL Abbott, VM Zavala
ACS sensors 3 (11), 2237-2245, 2018
502018
Graph-based modeling and simulation of complex systems
J Jalving, Y Cao, VM Zavala
Computers & Chemical Engineering 125, 134-154, 2019
432019
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
372020
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
272017
Predicting and optimizing syngas production from fluidized bed biomass gasifiers: A machine learning approach
JY Kim, D Kim, ZJ Li, C Dariva, Y Cao, N Ellis
Energy 263, 125900, 2023
262023
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
262021
Clustering-based preconditioning for stochastic programs
Y Cao, CD Laird, VM Zavala
Computational optimization and applications 64, 379-406, 2016
262016
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
242016
Deep neural network approximation of nonlinear model predictive control
Y Cao, RB Gopaluni
IFAC-PapersOnLine 53 (2), 11319-11324, 2020
232020
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
222017
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
212020
A scalable global optimization algorithm for stochastic nonlinear programs
Y Cao, VM Zavala
Journal of Global Optimization 75 (2), 393-416, 2019
202019
A new global solver for transmission expansion planning with AC network model
M Mehrtash, Y Cao
IEEE Transactions on Power Systems 37 (1), 282-293, 2021
182021
A sigmoidal approximation for chance-constrained nonlinear programs
Y Cao, VM Zavala
arXiv preprint arXiv:2004.02402, 2020
182020
Time-variant digital twin modeling through the Kalman-generalized sparse identification of nonlinear dynamics
J Wang, J Moreira, Y Cao, B Gopaluni
2022 American Control Conference (ACC), 5217-5222, 2022
172022
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
162021
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
152018
Data-driven dynamic inferential sensors based on causality analysis
L Cao, F Yu, F Yang, Y Cao, RB Gopaluni
Control Engineering Practice 104, 104626, 2020
132020
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Članki 1–20