A robust batch-to-batch optimization framework for pharmaceutical applications - Ali Ghodba; Anne Richelle; Chris McCready; Luis A. Ricardez-Sandoval; Hector M. Budman (Comput. Chem. Eng., 2025)

An integrated reinforcement learning framework for simultaneous generation, design, and control of chemical process flowsheets - Simone Reynoso-Donzelli; Luis A. Ricardez-Sandoval (Comput. Chem. Eng., 2025)

Logic-Based Discrete-Steepest Descent: A solution method for process synthesis Generalized Disjunctive Programs - Daniel Ovalle; David A. Liñán; Albert Lee; Jorge M. Gómez; Luis A. Ricardez-Sandoval; Ignacio E. Grossmann; David E. Bernal Neira (Comput. Chem. Eng., 2025)

A Comparison of Strategies to Embed Physics-Informed Neural Networks in Nonlinear Model Predictive Control Formulations Solved via Direct Transcription - Carlos Andrés Elorza Casas; Luis A. Ricardez-Sandoval; Joshua L. Pulsipher (CoRR, 2025)

A hybrid deterministic-stochastic algorithm for the optimal design of process flowsheets with ordered discrete decisions - David A. Liñán; Gabriel Contreras-Zarazúa; Eduardo Sanchez-Ramirez; Juan Gabriel Segovia-Hernández; Luis A. Ricardez-Sandoval (Comput. Chem. Eng., 2024)

A recurrent reinforcement learning strategy for optimal scheduling of partially observable job-shop and flow-shop batch chemical plants under uncertainty - Daniel Rangel-Martinez; Luis A. Ricardez-Sandoval (Comput. Chem. Eng., 2024)

Economically optimal operation of recirculating aquaculture systems under uncertainty - Gabriel D. Patrón; Luis A. Ricardez-Sandoval (Comput. Electron. Agric., 2024)

Bootstrapped Gross Error Detection for Efficient and Fault-Tolerant Real-Time Optimization - Gabriel D. Patrón; Luis A. Ricardez-Sandoval (American Control Conference, ACC 2024, Toronto, ON, Canada, July 10-12, 2024, 2024)

Optimal scheduling and open-loop control of network batch processes under variable processing times using Generalized Benders Decomposition - David A. Liñán; Simone Reynoso-Donzelli; Luis A. Ricardez-Sandoval (American Control Conference, ACC 2024, Toronto, ON, Canada, July 10-12, 2024, 2024)

Agile process systems engineering education: What to teach, and how to teach - 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 (Comput. Chem. Eng., 2023)

Directional modifier adaptation based on input selection for real-time optimization - Gabriel D. Patrón; Luis A. Ricardez-Sandoval (Comput. Chem. Eng., 2023)

Closed-loop operation of a simulated recirculating aquaculture system with an integrated application of nonlinear model predictive control and moving horizon estimation - Sara Kamali; Valerie C. A. Ward; Luis A. Ricardez-Sandoval (Comput. Electron. Agric., 2023)

A capacitated lot-sizing problem in the industrial fashion sector under uncertainty: a conditional value-at-risk framework - Yajaira Cardona-Valdés; Samuel Nucamendi-Guillén; Luis A. Ricardez-Sandoval (Int. J. Prod. Res., 2023)

Application of Reinforcement Learning with Recurrent Neural Networks for Optimal Scheduling of Flow-Shop Systems Under Uncertainty - Daniel Rangel-Martinez; Luis A. Ricardez-Sandoval (9th International Conference on Control, Decision and Information Technologies, CoDIT 2023, Rome, Italy, July 3-6, 2023, 2023)

Integration of Machine Scheduling and Personnel Allocation for an Industrial-Scale Analytical Services Facility - Daniela Lubke; Ricardo Fukasawa; Luis A. Ricardez-Sandoval (9th International Conference on Control, Decision and Information Technologies, CoDIT 2023, Rome, Italy, July 3-6, 2023, 2023)

Computer aided molecular design coupled with molecular dynamics as a novel approach to design new lubricants - Darinel Valencia-Marquez; Antonio Flores-Tlacuahuac; Alejandro J. García-Cuéllar; Luis A. Ricardez-Sandoval (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 - Donovan Chaffart; Luis A. Ricardez-Sandoval (Comput. Chem. Eng., 2022)

A robust moving horizon estimation under unknown distributions of process or measurement noises - Mahshad Valipour; Luis A. Ricardez-Sandoval (Comput. Chem. Eng., 2022)

Integration of design and NMPC-based control for chemical processes under uncertainty: An MPCC-based framework - Oscar Palma-Flores; Luis A. Ricardez-Sandoval (Comput. Chem. Eng., 2022)

Centralized and hierarchical scheduling frameworks for copper smelting process - Hussain Ahmed; Luis A. Ricardez-Sandoval; Matti Vilkko (Comput. Chem. Eng., 2022)

RD-toolbox: A computer aided toolbox for integrated design and control of reactive distillation processes - 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 (Comput. Chem. Eng., 2022)

A switched system approach for the direct solution of singular optimal control problems - Oswaldo Andrés-Martínez; Luis A. Ricardez-Sandoval (Comput. Chem. Eng., 2022)

A novel stochastic programming approach for scheduling of batch processes with decision dependent time of uncertainty realization - Kavitha G. Menon; Ricardo Fukasawa; Luis A. Ricardez-Sandoval (Ann. Oper. Res., 2021)

Abridged Gaussian sum extended Kalman filter for nonlinear state estimation under non-Gaussian process uncertainties - Mahshad Valipour; Luis A. Ricardez-Sandoval (Comput. Chem. Eng., 2021)

New frontiers, challenges, and opportunities in integration of design and control for enterprise-wide sustainability - Mina Rafiei-Shishavan; Luis A. Ricardez-Sandoval (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 - David A. Liñán; David E. Bernal; Luis A. Ricardez-Sandoval; Jorge Mario Gómez (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 - David A. Liñán; David E. Bernal; Luis A. Ricardez-Sandoval; Jorge Mario Gómez (Comput. Chem. Eng., 2020)

Robust estimation and economic predictive control for dynamic metabolic flux systems under probabilistic uncertainty - Honghao Zheng; Luis A. Ricardez-Sandoval; Hector M. Budman (Comput. Chem. Eng., 2020)

Integration of design and control for industrial-scale applications under uncertainty: a trust region approach - Mina Rafiei-Shishavan; Luis A. Ricardez-Sandoval (Comput. Chem. Eng., 2020)

Evaluating periodic rescheduling policies using a rolling horizon framework in an industrial-scale multipurpose plant - Zachariah Stevenson; Ricardo Fukasawa; Luis A. Ricardez-Sandoval (J. Sched., 2020)

Bi-objective short-term scheduling in a rolling horizon framework: a priori approaches with alternative operational objectives - Do Yeon Lee; Ricardo Fukasawa; Luis A. Ricardez-Sandoval (Comput. Oper. Res., 2019)

Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach - Donovan Chaffart; Luis A. Ricardez-Sandoval (Comput. Chem. Eng., 2018)

A multitasking continuous time formulation for short-term scheduling of operations in multipurpose plants - Saman Lagzi; Ricardo Fukasawa; Luis A. Ricardez-Sandoval (Comput. Chem. Eng., 2017)

Simultaneous design and control under uncertainty: A back-off approach using power series expansions - Mina Rafiei-Shishavan; Siddharth Mehta; Luis A. Ricardez-Sandoval (Comput. Chem. Eng., 2017)

A dynamic optimization framework for integration of design, control and scheduling of multi-product chemical processes under disturbance and uncertainty - Robert W. Koller; Luis A. Ricardez-Sandoval (Comput. Chem. Eng., 2017)

Simultaneous design and MPC-based control for dynamic systems under uncertainty: A stochastic approach - Sami S. Bahakim; Luis A. Ricardez-Sandoval (Comput. Chem. Eng., 2014)

An MPC-based control structure selection approach for simultaneous process and control design - Gloria Gutiérrez; Luis A. Ricardez-Sandoval; H. M. Budman; César de Prada (Comput. Chem. Eng., 2014)

Multi-scenario modelling of uncertainty in stochastic chemical systems - R. David Evans; Luis A. Ricardez-Sandoval (J. Comput. Phys., 2014)

Optimal design and control of dynamic systems under uncertainty: A probabilistic approach - Luis A. Ricardez-Sandoval (Comput. Chem. Eng., 2012)

A methodology for the simultaneous design and control of large-scale systems under process parameter uncertainty - Luis A. Ricardez-Sandoval; Peter L. Douglas; H. M. Budman (Comput. Chem. Eng., 2011)

Integration of design and control for chemical processes: A review of the literature and some recent results - Luis A. Ricardez-Sandoval; H. M. Budman; Peter L. Douglas (Annu. Rev. Control., 2009)

Tuning an adaptive controller using a robust control approach - Jesse Huebsch; Luis A. Ricardez-Sandoval; Hector M. Budman (Int. J. Control, 2009)