2022 Annual Meeting

Session: Data-Driven Dynamic Modeling, Estimation and Control I

Chair

Joseph Kwon, Texas A&M University

Co-Chair

Calvin Tsay, Imperial College London

Presentations

03:30 PM

(12a) Active Deep Learning for Scalable Approximation of Reachable and Invariant Sets for Mixed-Integer Nonlinear Systems
Joel Paulson, Angelo D. Bonzanini, Georgios Makrygiorgos, Ali Mesbah

03:49 PM

(12b) Development of Mass and Energy Constrained Neural Networks
Angan Mukherjee, Debangsu Bhattacharyya

04:08 PM

(12c) Data-Driven Controller Synthesis through the Learning of Integral Quadratic Constraints
Wentao Tang, Prodromos Daoutidis

04:27 PM

(12d) Nonlinear Model Predictive Control Using Statistical Machine-Learning-Based Control Lyapunov Barrier Functions
Scarlett (Siyao) Chen, Zhe Wu, Panagiotis Christofides

04:46 PM

(12e) Efficient Training of Machine-Learning Enhanced Building Models with Noisy Data
Pranav Krishna, Matthew Ellis

05:05 PM

(12f) A Deep Learning-Based Model Reduction and Control of an Ammonia Synthesis Process
Thiago Oliveira Cabral, Amirsalar Bagheri, Davood Babaei Pourkargar

05:24 PM

(12g) State Space Model Predictive Control Using Quality Variables for Batch Polymethyl Methacrylate Production
Nikesh Patel, Prashant Mhaskar

05:43 PM

(12h) Latent State Space Modeling of High-Dimensional Data in Chemical Systems
Jiaxin Yu, S. Joe Qin