Reference author: Luis Ricardez-Sandoval

Lan, X., Li, Q., Cao, L., Du, C., Ricardez-Sandoval, L. A., & Bai, G. (2020). Rebuilding supramolecular aggregates to porous hollow N-doped carbon tube inlaid with ultrasmall Ag nanoparticles: A highly efficient catalyst for CO2 conversion Applied Surface Science, 508. Retrieved from https://www.sciencedirect.com/science/article/pii/S0169433219340371 (Original work published 2020)

Valipour, M., & Ricardez-Sandoval, L. A. (2022). Extended moving horizon estimation for chemical processes under non-Gaussian noises AIChE Journal, 68. Retrieved from https://aiche.onlinelibrary.wiley.com/doi/full/10.1002/aic.17545 (Original work published 2022)

Valipour, M., & Ricardez-Sandoval, L. A. (2022). An Extended Moving Horizon Estimation embedded with an Abridged Gaussian Sum Extended Kalman Filter to handle non-Gaussian noises IFAC-PapersOnLine, 55. Retrieved from https://www.sciencedirect.com/science/article/pii/S2405896322008187 (Original work published 2022)

Calvo, F., Gómez, J. M., Alvarez, O., & Ricardez-Sandoval, L. A. (2022). Effect of emulsification parameters on the rheology, texture, and physical stability of cosmetic emulsions: A multiscale approach Chemical Engineering Research and Design, 186. Retrieved from https://www.sciencedirect.com/science/article/pii/S0263876222004233 (Original work published 2022)

Kamali, S., Ward, V. C., & Ricardez-Sandoval, L. A. (2022). Dynamic modeling of recirculating aquaculture systems: Effect of management strategies and water quality parameters on fish performance Aquacultural Engineering, 99. Retrieved from https://www.sciencedirect.com/science/article/pii/S014486092200070X (Original work published 2022)

Patron, G. D., & Ricardez-Sandoval, L. A. (2022). An integrated real-time optimization, control, and estimation scheme for post-combustion CO2 capture Applied Energy, 308. Retrieved from https://www.sciencedirect.com/science/article/pii/S0306261921015610 (Original work published 2022)

Palma-Flores, O., & Ricardez-Sandoval, L. A. (2022). Integration of design and NMPC-based control for chemical processes under uncertainty: An MPCC-based framework Computers & Chemical Engineering, 162. Retrieved from https://www.sciencedirect.com/science/article/pii/S0098135422001533 (Original work published 2022)

Andres-Martinez, O., & Ricardez-Sandoval, L. A. (2022). Integration of planning, scheduling, and control: A review and new perspectives The Canadian Journal of Chemical Engineering, 100. Retrieved from https://onlinelibrary.wiley.com/doi/full/10.1002/cjce.24501 (Original work published 2022)

Vera, H. U. R., & Ricardez-Sandoval, L. A. (2022). Integration of scheduling and control for chemical batch plants under stochastic uncertainty: A back-off approach Industrial & Engineering Chemistry Research, 61. Retrieved from https://pubs.acs.org/doi/full/10.1021/acs.iecr.1c04386 (Original work published 2022)

Patron, G. D., & Ricardez-Sandoval, L. A. (2022). Low-Variance Parameter Estimation Approach for Real-Time Optimization of Noisy Process Systems Industrial & Engineering Chemistry Research, 61. Retrieved from https://pubs.acs.org/doi/full/10.1021/acs.iecr.2c02897 (Original work published 2022)