2025 Spring Meeting and 21st Global Congress on Process Safety April 6-10, 2025 Hilton Anatole, Dallas, TX
2025 AIChE Annual Meeting November 2-6, 2025 John B. Hynes Veterans Memorial Convention Center, Marriott Copley Place, Sheraton Back Bay | Boston, MA
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
James Rawlings Citation name Rawlings, J. Affiliation University of California, Santa Barbara State CA Country USA Authored(199a) Fast and Large-Scale Model Predictive Control Using Neural NetworksPratyush KumarJames Rawlings2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(409d) Modeling What We Don't Know: Disturbance Models and Model Predictive ControlJames Rawlings2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(273c) Estimating the State of a Dynamical System: From Kalman Filtering to Moving Horizon State EstimationJames Rawlings2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(243a) Control and Optimization of Chemical Processes: From PID Control to on-Line Optimization in a Single GenerationJames Rawlings2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(745d) Robust Recursive Feasibility for Closed-Loop (Online) SchedulingRobert D. McAllisterJames Rawlings2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(299e) Disturbance Modeling for Model Predictive Control Using Neural NetworksJames RawlingsStephen J. WrightPratyush Kumar2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(612a) The Inherent Robustness of Closed-Loop (Online) Scheduling: Definitions, Algorithms, and Theoretical GuaranteesRobert McAllisterJames RawlingsChristos Maravelias2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(16b) The Inherent Robustness of Model Predictive Control: Discrete and Infrequent DisturbancesRobert McAllisterJames Rawlings2021 Annual Meeting (ISBN: 978-0-8169-1116-5) Associated proceedings 2019 AIChE Annual Meeting 2020 Virtual AIChE Annual Meeting 2021 Annual Meeting
