Gani, R. ., Chen, X. ., Eden, M. R., Mansouri, S. S., Martin, M. ., Mujtaba, I. M., Padungwatanaroj, O. ., Roh, K. ., Ricardez-Sandoval, L. A., Sugiyama, H. ., Zhao, J. ., & Zondervan, E. . (2022). Challenges and Opportunities for Process Systems Engineering in a Changed World (Vol. 49). Elsevier.
Publications
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Gomez, I. ., Calvo, F. ., Gómez, J. M., Ricardez-Sandoval, L. A., & Alvarez, O. . (2022). A multiscale approach for the integrated design of emulsified cosmetic products. Chemical Engineering Science, 251. Retrieved from https://www.sciencedirect.com/science/article/pii/S000925092200077X (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)
Valipour, M. ., & Ricardez-Sandoval, L. A. (2022). A robust moving horizon estimation under unknown distributions of process or measurement noises. Computers & Chemical Engineering, 157. Retrieved from https://www.sciencedirect.com/science/article/pii/S0098135421003987 (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)
Linan, D. A., & Ricardez-Sandoval, L. A. (2022). Optimal design and dynamic transitions of multitask catalytic distillation columns: A Discrete-Steepest Descend Framework. Chemical Engineering and Processing - Process Intensification, 180. Retrieved from https://www.sciencedirect.com/science/article/pii/S0255270121003457 (Original work published 2022)
Valencia-Marquez, D. ., Flores-Tlacuahuac, A. ., Garcia-Cuellar, A. J., & Ricardez-Sandoval, L. A. (2022). Computer aided molecular design coupled with molecular dynamics as a novel approach to design new lubricants. Computers & Chemical Engineering, 156. Retrieved from https://www.sciencedirect.com/science/article/pii/S009813542100301X (Original work published 2022)
Yuan, Y. ., Dong, X. ., & Ricardez-Sandoval, L. A. (2022). A multi-scale model for syngas combustion on NiO oxygen carrier for chemical looping combustion: The role of nearest neighbors. Fuel Processing Technology, 229. Retrieved from https://www.sciencedirect.com/science/article/pii/S0378382022000121 (Original work published 2022)
Kondili, E. M., Cameron, I. T., Leonard, G. ., Lewin, D. R., Mansouri, S. S., Martins, F. G., Ricardez-Sandoval, L. A., Sugiyama, H. ., & Zondervan, E. . (2022). Agile Process Systems Engineering (PSE) education-1. What should be taught to achieve desired outcomes mastery by graduates? (Vol. 51). Elsevier. Retrieved from https://www.sciencedirect.com/science/article/abs/pii/B9780323958790502782
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)