Koller, R. ., Ricardez-Sandoval, L. A., & Biegler, L. T. (2018). Optimal Design, Control and Scheduling of Multi-Product Systems Under Uncertainty: A Stochastic Back-Off Approach. 2018 AIChE Annual Meeting. Presented at the. AIChE. (Original work published 2018)
Reference author: Luis Ricardez-Sandoval
First name
Luis
Middle name
A
Last name
Ricardez-Sandoval
Rodriguez-Perez, B. E., Flores-Tlacuahuac, A. ., Ricardez-Sandoval, L. A., & Lozano, F. J. (2018). Optimal water quality control of sequencing batch reactors under uncertainty. Industrial & Engineering Chemistry Research, 57. Retrieved from https://pubs.acs.org/doi/full/10.1021/acs.iecr.8b01076 (Original work published 2018)
Chaffart, D. ., & Ricardez-Sandoval, L. A. (2018). Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach. Computers & Chemical Engineering, 119. Retrieved from https://www.sciencedirect.com/science/article/pii/S0098135418306379 (Original work published 2018)
Tejeda-Iglesias, M. ., Szuba, J. ., Koniuch, R. ., & Ricardez-Sandoval, L. A. (2018). Optimization and modeling of an industrial-scale sulfuric acid plant under uncertainty. Industrial & Engineering Chemistry Research, 57. Retrieved from https://pubs.acs.org/doi/full/10.1021/acs.iecr.8b00785 (Original work published 2018)
Chaffart, D. ., & Ricardez-Sandoval, L. A. (2018). Robust optimization of a multiscale heterogeneous catalytic reactor system with spatially-varying uncertainty descriptions using polynomial chaos expansions. The Canadian Journal of Chemical Engineering, 96, 113-131. https://doi.org/10.1002/aic.15215
You, H. ., Yuan, Y. ., Li, J. ., & Ricardez-Sandoval, L. A. (2018). A Multi-scale model for CO2 capture: A Nickel-based oxygen carrier in Chemical-looping Combustion. IFAC-PapersOnLine, 51. Retrieved from https://www.sciencedirect.com/science/article/pii/S2405896318319414 (Original work published 2018)
Kimaev, G. ., & Ricardez-Sandoval, L. A. (2018). Multilevel Monte Carlo for noise estimation in stochastic multiscale systems. Chemical Engineering Research and Design, 140. Retrieved from https://www.sciencedirect.com/science/article/pii/S0263876218305288 (Original work published 2018)
Kimaev, G. ., & Ricardez-Sandoval, L. A. (2018). Multilevel Monte Carlo applied to chemical engineering systems subject to uncertainty. AIChE Journal, 64, 1651-1661. https://doi.org/10.1002/aic.16045
Kimaev, G. ., & Ricardez-Sandoval, L. A. (2018). Multilevel Monte Carlo Applied for Efficient Estimation of Observables in Multiscale Stochastic Systems. 2018 AIChE Annual Meeting. Presented at the. (Original work published 2018)
Santos, F. ., Fukasawa, R. ., & Ricardez-Sandoval, L. A. (2018). An integrated personnel allocation and machine scheduling problem for industrial size multipurpose plants. IFAC-PapersOnLine, 51. Retrieved from https://www.sciencedirect.com/science/article/pii/S2405896318319724 (Original work published 2018)