Luis A. Ricardez-Sandoval

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 29

Top Topics

Rolling Horizon

Dynamic Optimization

Top Venues

Comput. Chem. Eng.

Comput. Electron. Agric.

Ann. Oper. Res.

Publications

Daniel Rangel-Martinez, Luis A. Ricardez-Sandoval
A recurrent reinforcement learning strategy for optimal scheduling of partially observable job-shop and flow-shop batch chemical plants under uncertainty. Comput. Chem. Eng. 188 (2024)
Gabriel D. Patrón, Luis A. Ricardez-Sandoval
Economically optimal operation of recirculating aquaculture systems under uncertainty. Comput. Electron. Agric. 220 (2024)
David A. Liñán, Gabriel Contreras-Zarazúa, Eduardo Sanchez-Ramirez, Juan Gabriel Segovia-Hernández, Luis A. Ricardez-Sandoval
A hybrid deterministic-stochastic algorithm for the optimal design of process flowsheets with ordered discrete decisions. Comput. Chem. Eng. 180 (2024)
Yajaira Cardona-Valdés, Samuel Nucamendi-Guillén, Luis A. Ricardez-Sandoval
A capacitated lot-sizing problem in the industrial fashion sector under uncertainty: a conditional value-at-risk framework. Int. J. Prod. Res. 61 (21) (2023)
Sara Kamali, Valerie C. A. Ward, Luis A. Ricardez-Sandoval
Closed-loop operation of a simulated recirculating aquaculture system with an integrated application of nonlinear model predictive control and moving horizon estimation. Comput. Electron. Agric. 209 (2023)
Gabriel D. Patrón, Luis A. Ricardez-Sandoval
Directional modifier adaptation based on input selection for real-time optimization. Comput. Chem. Eng. 177 (2023)
Daniela Lubke, Ricardo Fukasawa, Luis A. Ricardez-Sandoval
Integration of Machine Scheduling and Personnel Allocation for an Industrial-Scale Analytical Services Facility. CoDIT (2023)
Daniel R. Lewin, Emilia M. Kondili, Ian T. Cameron, Grégoire Léonard, Seyed Soheil Mansouri, Fernando Gomes Martins, Luis A. Ricardez-Sandoval, Hirokazu Sugiyama, Edwin Zondervan
Agile process systems engineering education: What to teach, and how to teach. Comput. Chem. Eng. 170 (2023)
Daniel Rangel-Martinez, Luis A. Ricardez-Sandoval
Application of Reinforcement Learning with Recurrent Neural Networks for Optimal Scheduling of Flow-Shop Systems Under Uncertainty. CoDIT (2023)
Donovan Chaffart, Luis A. Ricardez-Sandoval
A three dimensional kinetic Monte Carlo defect-free crystal dissolution model for biological systems, with application to uncertainty analysis and robust optimization. Comput. Chem. Eng. 157 (2022)
Ashfaq Iftakher, David A. Liñán, Seyed Soheil Mansouri, Ahaduzzaman Nahid, M. M. Faruque Hasan, M. A. A. Shoukat Choudhury, Luis A. Ricardez-Sandoval, Jay H. Lee
RD-toolbox: A computer aided toolbox for integrated design and control of reactive distillation processes. Comput. Chem. Eng. 164 (2022)
Darinel Valencia-Marquez, Antonio Flores-Tlacuahuac, Alejandro J. García-Cuéllar, Luis A. Ricardez-Sandoval
Computer aided molecular design coupled with molecular dynamics as a novel approach to design new lubricants. Comput. Chem. Eng. 156 (2022)
Mahshad Valipour, Luis A. Ricardez-Sandoval
A robust moving horizon estimation under unknown distributions of process or measurement noises. Comput. Chem. Eng. 157 (2022)
Oscar Palma-Flores, Luis A. Ricardez-Sandoval
Integration of design and NMPC-based control for chemical processes under uncertainty: An MPCC-based framework. Comput. Chem. Eng. 162 (2022)
Oswaldo Andrés-Martínez, Luis A. Ricardez-Sandoval
A switched system approach for the direct solution of singular optimal control problems. Comput. Chem. Eng. 168 (2022)
Hussain Ahmed, Luis A. Ricardez-Sandoval, Matti Vilkko
Centralized and hierarchical scheduling frameworks for copper smelting process. Comput. Chem. Eng. 164 (2022)
Mahshad Valipour, Luis A. Ricardez-Sandoval
Abridged Gaussian sum extended Kalman filter for nonlinear state estimation under non-Gaussian process uncertainties. Comput. Chem. Eng. 155 (2021)
Kavitha G. Menon, Ricardo Fukasawa, Luis A. Ricardez-Sandoval
A novel stochastic programming approach for scheduling of batch processes with decision dependent time of uncertainty realization. Ann. Oper. Res. 305 (1) (2021)
David A. Liñán, David E. Bernal, Luis A. Ricardez-Sandoval, Jorge Mario Gómez
Optimal design of superstructures for placing units and streams with multiple and ordered available locations. Part II: Rigorous design of catalytic distillation columns. Comput. Chem. Eng. 139 (2020)
Mina Rafiei-Shishavan, Luis A. Ricardez-Sandoval
New frontiers, challenges, and opportunities in integration of design and control for enterprise-wide sustainability. Comput. Chem. Eng. 132 (2020)
Honghao Zheng, Luis A. Ricardez-Sandoval, Hector M. Budman
Robust estimation and economic predictive control for dynamic metabolic flux systems under probabilistic uncertainty. Comput. Chem. Eng. 140 (2020)
David A. Liñán, David E. Bernal, Luis A. Ricardez-Sandoval, Jorge Mario Gómez
Optimal design of superstructures for placing units and streams with multiple and ordered available locations. Part I: A new mathematical framework. Comput. Chem. Eng. 137 (2020)
Mina Rafiei-Shishavan, Luis A. Ricardez-Sandoval
Integration of design and control for industrial-scale applications under uncertainty: a trust region approach. Comput. Chem. Eng. 141 (2020)
Zachariah Stevenson, Ricardo Fukasawa, Luis A. Ricardez-Sandoval
Evaluating periodic rescheduling policies using a rolling horizon framework in an industrial-scale multipurpose plant. J. Sched. 23 (3) (2020)
Do Yeon Lee, Ricardo Fukasawa, Luis A. Ricardez-Sandoval
approaches with alternative operational objectives. Comput. Oper. Res. 111 (2019)
Donovan Chaffart, Luis A. Ricardez-Sandoval
Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach. Comput. Chem. Eng. 119 (2018)
Saman Lagzi, Ricardo Fukasawa, Luis A. Ricardez-Sandoval
A multitasking continuous time formulation for short-term scheduling of operations in multipurpose plants. Comput. Chem. Eng. 97 (2017)
Robert W. Koller, Luis A. Ricardez-Sandoval
A dynamic optimization framework for integration of design, control and scheduling of multi-product chemical processes under disturbance and uncertainty. Comput. Chem. Eng. 106 (2017)
Mina Rafiei-Shishavan, Siddharth Mehta, Luis A. Ricardez-Sandoval
Simultaneous design and control under uncertainty: A back-off approach using power series expansions. Comput. Chem. Eng. 99 (2017)
Gloria Gutiérrez, Luis A. Ricardez-Sandoval, H. M. Budman, César de Prada
An MPC-based control structure selection approach for simultaneous process and control design. Comput. Chem. Eng. 70 (2014)
Sami S. Bahakim, Luis A. Ricardez-Sandoval
Simultaneous design and MPC-based control for dynamic systems under uncertainty: A stochastic approach. Comput. Chem. Eng. 63 (2014)
R. David Evans, Luis A. Ricardez-Sandoval
Multi-scenario modelling of uncertainty in stochastic chemical systems. J. Comput. Phys. 273 (2014)
Luis A. Ricardez-Sandoval
Optimal design and control of dynamic systems under uncertainty: A probabilistic approach. Comput. Chem. Eng. 43 (2012)
Luis A. Ricardez-Sandoval, P. L. Douglas, H. M. Budman
A methodology for the simultaneous design and control of large-scale systems under process parameter uncertainty. Comput. Chem. Eng. 35 (2) (2011)
Luis A. Ricardez-Sandoval, H. M. Budman, P. L. Douglas
Integration of design and control for chemical processes: A review of the literature and some recent results. Annu. Rev. Control. 33 (2) (2009)
Jesse Huebsch, Luis A. Ricardez-Sandoval, Hector M. Budman
Tuning an adaptive controller using a robust control approach. Int. J. Control 82 (5) (2009)