2021 Annual Meeting

Session: Advances in Process Control II

Chair

Ellis, M., University of California, Davis

Co-Chair

Paulson, J., The Ohio State University

Presentations

03:30 PM

(176a) Development of Algorithms for Reinforcement Learning Augmented Model Predictive Control
Hedrick, E., Reynolds, K., Bhattacharyya, D., Zitney, S., Omell, B. P.

03:49 PM

(176b) Community Detection Based on Dynamic Attributes of Complex Networks
Samandari Masooleh, L., Arbogast, J. E., Oktem, U., Seider, W., Soroush, M.

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
Nieman, K., Kasturi Rangan, K., Durand, H.

04:27 PM

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

04:46 PM

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

05:05 PM

(176f) Statistical Machine Learning in Model Predictive Control of Nonlinear Processes
Wu, Z., Rincon, D., Christofides, P.

05:43 PM

(176h) Robust Data-Driven Design of Generic Control Structures with Probabilistic Guarantees Using Gaussian Process Emulators
Paulson, J., Mesbah, A., Shao, K.