Luis A. Ricardez-Sandoval
Orcid: 0000-0001-9867-6778Affiliations:
- University of Waterloo, Ontario, Canada
According to our database1,
Luis A. Ricardez-Sandoval
authored at least 34 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
A hybrid deterministic-stochastic algorithm for the optimal design of process flowsheets with ordered discrete decisions.
Comput. Chem. Eng., January, 2024
2023
A capacitated lot-sizing problem in the industrial fashion sector under uncertainty: a conditional value-at-risk framework.
Int. J. Prod. Res., November, 2023
Comput. Chem. Eng., September, 2023
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., June, 2023
Comput. Chem. Eng., February, 2023
Application of Reinforcement Learning with Recurrent Neural Networks for Optimal Scheduling of Flow-Shop Systems Under Uncertainty.
Proceedings of the 9th International Conference on Control, 2023
Integration of Machine Scheduling and Personnel Allocation for an Industrial-Scale Analytical Services Facility.
Proceedings of the 9th International Conference on Control, 2023
2022
A robust moving horizon estimation under unknown distributions of process or measurement noises.
Comput. Chem. Eng., 2022
Computer aided molecular design coupled with molecular dynamics as a novel approach to design new lubricants.
Comput. Chem. Eng., 2022
Integration of design and NMPC-based control for chemical processes under uncertainty: An MPCC-based framework.
Comput. Chem. Eng., 2022
RD-toolbox: A computer aided toolbox for integrated design and control of reactive distillation processes.
Comput. Chem. Eng., 2022
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., 2022
A switched system approach for the direct solution of singular optimal control problems.
Comput. Chem. Eng., 2022
Comput. Chem. Eng., 2022
2021
Abridged Gaussian sum extended Kalman filter for nonlinear state estimation under non-Gaussian process uncertainties.
Comput. Chem. Eng., 2021
A novel stochastic programming approach for scheduling of batch processes with decision dependent time of uncertainty realization.
Ann. Oper. Res., 2021
2020
Evaluating periodic rescheduling policies using a rolling horizon framework in an industrial-scale multipurpose plant.
J. Sched., 2020
Robust estimation and economic predictive control for dynamic metabolic flux systems under probabilistic uncertainty.
Comput. Chem. Eng., 2020
Integration of design and control for industrial-scale applications under uncertainty: a trust region approach.
Comput. Chem. Eng., 2020
New frontiers, challenges, and opportunities in integration of design and control for enterprise-wide sustainability.
Comput. Chem. Eng., 2020
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., 2020
Optimal design of superstructures for placing units and streams with multiple and ordered available locations. Part I: A new mathematical framework.
Comput. Chem. Eng., 2020
2019
Bi-objective short-term scheduling in a rolling horizon framework: <i>a priori</i> approaches with alternative operational objectives.
Comput. Oper. Res., 2019
2018
Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach.
Comput. Chem. Eng., 2018
2017
Simultaneous design and control under uncertainty: A back-off approach using power series expansions.
Comput. Chem. Eng., 2017
A multitasking continuous time formulation for short-term scheduling of operations in multipurpose plants.
Comput. Chem. Eng., 2017
A dynamic optimization framework for integration of design, control and scheduling of multi-product chemical processes under disturbance and uncertainty.
Comput. Chem. Eng., 2017
2014
J. Comput. Phys., 2014
An MPC-based control structure selection approach for simultaneous process and control design.
Comput. Chem. Eng., 2014
Simultaneous design and MPC-based control for dynamic systems under uncertainty: A stochastic approach.
Comput. Chem. Eng., 2014
2012
Optimal design and control of dynamic systems under uncertainty: A probabilistic approach.
Comput. Chem. Eng., 2012
2011
A methodology for the simultaneous design and control of large-scale systems under process parameter uncertainty.
Comput. Chem. Eng., 2011
2009
Integration of design and control for chemical processes: A review of the literature and some recent results.
Annu. Rev. Control., 2009