2022 Annual Meeting

Session: Interactive Session: Systems and Process Control

Chair

Fernando V. Lima, West Virginia University

Co-Chair

Ali Mesbah, University of California, Berkeley

Presentations

03:30 PM

(363z) Constraint-Dropping in Cutting-Set Based Robust Optimization: Enabling Robust Heat Pump Allocation
Tom Savage, Antonio del Rio Chanona, Dongda Zhang
(363v) Online Impedance Analysis Using Chirp Signals in Linear and Non-Linear Systems
Rigved Samant, Resmi Suresh, Raghunathan Rengaswamy
(363f) Machine Learning and System Identification for Dynamical Systems: A Comparative Review
Akhil Ahmed, Antonio del Rio Chanona, Mehmet Mercangoz
(363ad) Adaptive Economic Model Predictive Control for Batch Processes: Application to Rotational Molding Process
Aswin Chandrasekar, Hassan Abdulhussain, Michael R. Thompson, Prashant Mhaskar, Vladimir Gritsichine
(363g) Data Driven Discovery of Chemical Reaction Kinetics
Md Rizwan, David Eklund, Ronnie Andersson
(363y) Pipelines Multi-Product Scheduling and Delivering By Model Predictive Control
Lu Zhang, Stevan Dubljevic
(363c) Process Operability Mapping Using Neural Networks
Karan Waghela, Victor Alves, John Kitchin, Fernando V. Lima
(363aa) Modeling and Predictive Control of the Coffee-Ring Effect in Coalescing QD-Droplets
Omkar Newalkar, Niranjan Sitapure, Joseph Kwon
(363d) Selection of Self-Optimizing Controlled Variables Using Principal Component Analysis
Nabil Magbool Jan, Sunil Kumar
(363k) Multiscale Modeling and Control of Spray Coating of Quantum Dots
Niranjan Sitapure, Joseph Kwon
(363m) Continuous and Discrete Control of Flow Networks
Varghese Kurian, Sajay Velmurugan, Sridharakumar Narasimhan
(363ab) Operator's Eye Gaze Analytics for Evaluating Usability of Human Machine Interfaces in Process Control Applications
Mohammed Aatif Shahab, Babji Srinivasan, Rajagopalan Srinivasan
(363ac) Data-Driven ARX Models with Measurable Disturbances for Model Predictive Control (MPC) of Crop Irrigation
Jisung Jang, Q. Peter He
(363ae) Online Data-Driven Closed-Loop Model Predictive Control of Nonlinear Systems Using Artificial Neural Networks
Gautam Kumar, Andrew Branen, Mayuresh Kothare
(363h) Comparing Reinforcement Learning and Bayesian Optimization for Tuning MPC Policies
David Pérez-Piñeiro, Sigurd Skogestad
(363w) A New MILP Formulation for Scheduling Cleaning in Heat Exchanger Networks Consisting of Multi-Pass Heat Exchangers
Babji Srinivasan, Rajagopalan Srinivasan, Parag Patil
(363t) Data-Gathering Lyapunov-Based Economic Model Predictive Control: Considering Interpretability and Physics-Based Model Selection
Henrique Oyama, Fnu Akkarakaran Francis Leonard, Rebecca Lopez, Dominic Messina, Helen Durand
(363x) Directed Randomization to Detect for Cyberattacks on Nonlinear Systems Under Lyapunov-Based Economic Model Predictive Control
Keshav Kasturi Rangan, Kip Nieman, Fnu Akkarakaran Francis Leonard, Helen Durand
(363a) Cost-Optimal Multi-Effect Mechanical Vapor Recompression Evaporation Configuration in Pulp and Paper Industry
Yurim Kim, Hyungtae Cho, Junghwan Kim, Jonghun Lim, Deok Ju Kim
(363o) Nonlinear Model Predictive Control for the Dividing Wall Column
Xing Qian, Shengkun Jia, Lorenz Biegler
(363i) CFD Modeling of Gravity Separator with PID Interface Controller
Chang Kai Wu, Eugene Yan, Mike Ma, Hossam Metwally, Sravan Nallamothu
(363u) Tuning MPC through System-Level Parameterization and Inverse Optimization
Wentao Tang
(363j) Modelling of Fluid Flow and Mass Transfer in a Multi-Channel Microfluidic Reactor Using Computational Fluid Dynamics.
Holly A. Stretz, Oluwaseyi Ayeni
(363e) A Data-Driven Dynamic Modeling Methodology Based on POD/Oed/ANNs Method for Large-Scale Dynamic Systems
Weiguo Xie
(363q) Model Predictive Control Considering Stochastic Heat Generation for Thermal Management of Electric Vehicle
Hyein Jung, Changbeom Hong, Hyeonwoo Cho, Yeonsoo Kim, Jong Min Lee, Se-Kyu Oh
(363l) Matrix Non-Structural Model and Its Application in Heat Exchanger Network without Split Streams
Ding Hao Li, Jingde Wang, Wei Sun