Input saturation effects in optimizing control - inclusion within a simultaneous optimization framework. - J. C. C. Young; Rhoda Baker; Christopher L. E. Swartz (Comput. Chem. Eng., 2004)

A mixed-integer formulation for back-off under constrained predictive control. - Mohamed Soliman; Christopher L. E. Swartz; Rhoda Baker (Comput. Chem. Eng., 2008)

Model-based control of multi-unit systems under partial shutdown conditions. - Zhiwen Chong; Christopher L. E. Swartz (ACC, 2009)

Design for dynamic performance: Application to an air separation unit. - Yanan Cao 003; Christopher L. E. Swartz; Michael Baldea (ACC, 2011)

Flexible maintenance within a continuous-time state-task network framework. - Matthew J. Hazaras; Christopher L. E. Swartz; Thomas E. Marlin (Comput. Chem. Eng., 2012)

Robust decision making for hybrid process supply chain systems via model predictive control. - Richard Mastragostino; Shailesh Patel; Christopher L. E. Swartz (Comput. Chem. Eng., 2014)

Economic model predictive control of the electric arc furnace using data-driven multi-rate models. - Mudassir M. Rashid; Prashant Mhaskar; Christopher L. E. Swartz (ACC, 2016)

Optimal response under partial plant shutdown with discontinuous dynamic models. - Zhiwen Chong; Christopher L. E. Swartz (Comput. Chem. Eng., 2016)

Flexibility analysis of process supply chain networks. - Han Wang; Richard Mastragostino; Christopher L. E. Swartz (Comput. Chem. Eng., 2016)

Handling multi-rate and missing data in system identification. - Mudassir M. Rashid; Prashant Mhaskar; Christopher L. E. Swartz (ACC, 2017)

Practical optimization for cost reduction of a liquefier in an industrial air separation plant. - Yanan Cao 003; Jesus Flores-Cerrillo; Christopher L. E. Swartz (Comput. Chem. Eng., 2017)

Approximation of closed-loop prediction for dynamic real-time optimization calculations. - Mohammad-Zamry Jamaludin; Christopher L. E. Swartz (Comput. Chem. Eng., 2017)

A parallel structure exploiting nonlinear programming algorithm for multiperiod dynamic optimization. - I. D. Washington; Christopher L. E. Swartz (Comput. Chem. Eng., 2017)

An optimization framework for scheduling of converter aisle operation in a nickel smelting plant. - Christopher M. Ewaschuk; Christopher L. E. Swartz; Yale Zhang (Comput. Chem. Eng., 2018)

Approximation techniques for dynamic real-time optimization (DRTO) of distributed MPC systems. - Hao Li 026; Christopher L. E. Swartz (Comput. Chem. Eng., 2018)

Dynamic real-time optimization of distributed MPC systems using rigorous closed-loop prediction. - Hao Li 026; Christopher L. E. Swartz (Comput. Chem. Eng., 2019)

Supply chain design with time-limited transportation contracts. - Shailesh Patel; Christopher L. E. Swartz (Comput. Chem. Eng., 2019)

Design for dynamic operation - A review and new perspectives for an increasingly dynamic plant operating environment. - Christopher L. E. Swartz; Yoshiaki Kawajiri (Comput. Chem. Eng., 2019)

Uncertainty management via online scheduling for optimal short-term operation of cascaded hydropower systems. - Pulkit Mathur; Christopher L. E. Swartz; Danielle Zyngier; François Welt (Comput. Chem. Eng., 2020)

An adaptive sampling surrogate model building framework for the optimization of reaction systems. - Robert E. Franzoi; Jeffrey Dean Kelly; Brenno C. Menezes; Christopher L. E. Swartz (Comput. Chem. Eng., 2021)

Robust model predictive control with embedded multi-scenario closed-loop prediction. - Lloyd MacKinnon; Hao Li 026; Christopher L. E. Swartz (Comput. Chem. Eng., 2021)

Multiperiod refinery optimization for mitigating the impact of process unit shutdowns. - Ariel Boucheikhchoukh; Valentin Berger; Christopher L. E. Swartz; Antoine Deza; Alexander Nguyen; Shaffiq Jaffer (Comput. Chem. Eng., 2022)

A stochastic optimization framework for integrated scheduling and control under demand uncertainty. - Daniela Dering; Christopher L. E. Swartz (Comput. Chem. Eng., 2022)

Data-driven supply chain monitoring using canonical variate analysis. - Jing Wang; Christopher L. E. Swartz; Kai Huang 003 (Comput. Chem. Eng., 2023)

A two-level MPC method for the operation of a gas pipeline system under demand variation. - Yaran Bu; Christopher L. E. Swartz; Changchun Wu (Comput. Chem. Eng., 2024)

State and parameter estimation in closed-loop dynamic real-time optimization - A comparative study. - José Matias; Christopher L. E. Swartz (Comput. Chem. Eng., 2025)

Risk-averse supply chain management via robust reinforcement learning. - Jing Wang; Christopher L. E. Swartz; Kai Huang 003 (Comput. Chem. Eng., 2025)