2022 Annual Meeting

Session: Advances in Process Control II

Chair

Daniel Rivera, Arizona State University

Co-Chair

Ravendra Singh, Rutgers, The State University of New Jer

Presentations

12:30 PM

(299a) Stable Economic Nonlinear Model Predictive Control without a Pre-Calculated Steady-State Optimum
Kuan-Han Lin, Lorenz Biegler

12:49 PM

(299b) Hybrid Model-Based MPC with Guarantees on Stability and Applicability Domain: Application to Chemical, Biochemical, and Hydraulic Fracturing Systems
Mohammed Saad Faizan Bangi, Joseph Kwon

01:08 PM

(299c) Model Predictive Control As a Reinforcement Learning Policy: Faster Learning Via Policy Rollouts
Elijah Hedrick, Katherine Hedrick, Debangsu Bhattacharyya, Stephen Zitney, Benjamin P. Omell

01:27 PM

(299d) Model-Based Fault Diagnosis and Fault Tolerant Control for Safety-Critical Chemical Reactors
Costas Kravaris, Pu Du, Joshiba Ariamuthu Venkidasalapathy, Sunjeev Venkateswaran, Benjamin Wilhite

01:46 PM

(299e) Quantum Technologies and Model Predictive Control
Kip Nieman, Helen Durand

02:05 PM

(299f) Stability-Preserving Automatic Tuning of PID Control with Reinforcement Learning
Qiugang Jay Lu, Myisha Ahmed Chowdhury, Ayub Lakhani

02:24 PM

(299g) An Advanced MPC for Nonlinear Large-Scale Dynamic Systems Based on Data-Driven POD/ANNs Method
Weiguo Xie

02:43 PM

(299h) Quantitative Comparison of Model-Free Reinforcement Learning and Data-Driven Model Based Optimal Control
Tae Hoon Oh