Rasoulian, S. ., & Ricardez-Sandoval, L. A. (2015). A robust nonlinear model predictive controller for a multiscale thin film deposition process. Chemical Engineering Science, 136, 38-49. https://doi.org/10.1016/j.ces.2015.02.002
Reference author: Luis Ricardez-Sandoval
First name
Luis
Middle name
A
Last name
Ricardez-Sandoval
Patil, B. P., Fukasawa, R. ., & Ricardez-Sandoval, L. A. (2015). Scheduling of operations in a large-scale scientific services facility via multicommodity flow and an optimization-based algorithm. Industrial & Engineering Chemistry Research, 54, 1628-1639. https://doi.org/10.1021/ie503660f
Chaffart, D. ., Rasoulian, S. ., & Ricardez-Sandoval, L. A. (2016). Distributional uncertainty analysis and robust optimization in spatially heterogeneous multiscale process systems. AIChE Journal, 62, 2374-2390. https://doi.org/10.1002/aic.15215
Chaffart, D. R., & Ricardez-Sandoval, L. A. (2016). Distributional Uncertainty Analysis in Transient Heterogeneous Multiscale Catalytic Flow Reactors. IFAC-PapersOnLine, 49, 436-441. https://doi.org/10.1016/j.ifacol.2016.07.381
He, Z. ., & Ricardez-Sandoval, L. A. (2016). Dynamic modelling of a commercial-scale CO2 capture plant integrated with a natural gas combined cycle (NGCC) power plant. International Journal of Greenhouse Gas Control, 55, 23-35. https://doi.org/10.1016/j.ijggc.2016.11.001
Sahraei, H. ., Duchesne, M. A., Hughes, R. W., & Ricardez-Sandoval, L. A. (2016). Experimental Assessment, Model Validation, and Uncertainty Quantification of a Pilot-Scale Gasifier. Industrial & Engineering Chemistry Research, 55, 6961-6970. https://doi.org/10.1021/acs.iecr.6b00692
He, Z. ., Sahraei, H. ., & Ricardez-Sandoval, L. A. (2016). Flexible operation and simultaneous scheduling and control of a CO2 capture plant using model predictive control. International Journal of Greenhouse Gas Control, 48, 300-311. https://doi.org/10.1016/j.ijggc.2015.10.025
Mehta, S. ., & Ricardez-Sandoval, L. A. (2016). Integration of design and control of dynamic systems under uncertainty: a new back-off approach. Industrial & Engineering Chemistry Research, 55, 485-498. https://doi.org/10.1021/acs.iecr.5b03522
Rasoulian, S. ., & Ricardez-Sandoval, L. A. (2016). Stochastic nonlinear model predictive control applied to a thin film deposition process under uncertainty. Chemical Engineering Science, 140, 90-103. https://doi.org/10.1016/j.ces.2015.10.004
Rafiei-Shishavan, M. ., & Ricardez-Sandoval, L. A. (2017). A Stochastic Approach for Integration of Design and Control under Uncertainty: A Back-off Approach Using Power Series Expansions. In Computer Aided Chemical Engineering: Vol. 40 (Vol. 40, pp. 1861-1866). Elsevier. https://doi.org/10.1021/acs.iecr.7b03935
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