2022 Annual Meeting

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

Chair

Kwon, J., Texas A&M University

Co-Chair

Tsay, C., Imperial College London

Presentations

03:30 PM

(12a) Active Deep Learning for Scalable Approximation of Reachable and Invariant Sets for Mixed-Integer Nonlinear Systems
Paulson, J., Bonzanini, A. D., Makrygiorgos, G., Mesbah, A.

03:49 PM

(12b) Development of Mass and Energy Constrained Neural Networks
Mukherjee, A., Bhattacharyya, D.

04:08 PM

(12c) Data-Driven Controller Synthesis through the Learning of Integral Quadratic Constraints
Tang, W., Daoutidis, P.

04:27 PM

(12d) Nonlinear Model Predictive Control Using Statistical Machine-Learning-Based Control Lyapunov Barrier Functions
Chen, S., Wu, Z., Christofides, P.

04:46 PM

(12e) Efficient Training of Machine-Learning Enhanced Building Models with Noisy Data
Krishna, P., Ellis, M.

05:05 PM

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

05:24 PM

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

05:43 PM

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