2021 Annual Meeting

Session: Advances in Process Control II

Chair

Matthew Ellis, University of California, Davis

Co-Chair

Joel Paulson, The Ohio State University

Presentations

03:30 PM

(176a) Development of Algorithms for Reinforcement Learning Augmented Model Predictive Control
Elijah Hedrick, Katherine Reynolds, Debangsu Bhattacharyya, Stephen Zitney, Benjamin P. Omell

03:49 PM

(176b) Community Detection Based on Dynamic Attributes of Complex Networks
Leila Samandari Masooleh, Jeffrey E. Arbogast, Ulku Oktem, Warren Seider, Masoud Soroush

04:08 PM

(176c) On Probabilistic Input Selection: Utilizing a Quantum Algorithm in Selecting Inputs for Lyapunov-Based Economic Model Predictive Control Formulated As a Look-up Table
Kip Nieman, Keshav Kasturi Rangan, Helen Durand

04:27 PM

(176d) An Abridged Gaussian Sum Framework to Generalize Extended Kalman Filter for Constrained Nonlinear Systems Under Non-Gaussian Noise
Mahshad Valipour, Luis Ricardez-Sandoval

04:46 PM

(176e) Distributed Human-in-the-Loop Model Predictive Control
B. Wayne Bequette, Sambit Ghosh

05:05 PM

(176f) Statistical Machine Learning in Model Predictive Control of Nonlinear Processes
Zhe Wu, David Rincon, Panagiotis Christofides

05:43 PM

(176h) Robust Data-Driven Design of Generic Control Structures with Probabilistic Guarantees Using Gaussian Process Emulators
Joel Paulson, Ali Mesbah, Ketong Shao