MIT Open Access Articles

A nonparametric learning framework for nonlinear robust output regulation

Wang, Shimin; Guay, Martin; Chen, Zhiyong; Braatz, Richard D (Institute of Electrical and Electronics Engineers, 2024)

A nonparametric learning solution framework is proposed for the global nonlinear robust output regulation problem. We first extend the assumption that the steady-state generator is linear in the exogenous signal to the ...
Economic Nonlinear Model Predictive Control of Continuous Viral Bioreactors

Inguva, Pavan K; Paoli, Luc T; Braatz, Richard D (Elsevier BV, 2024)

Viral particle systems are integral parts of modern biotechnology, finding use in vaccines, drug delivery platforms, and recombinant protein production. Continuous manufacturing of these systems can offer improved ...
Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging

Hirt, Sebastian; Höhl, Andreas; Schaeffer, Joachim; Pohlodek, Johannes; Braatz, Richard D; e.a. (Elsevier BV, 2024)

Tuning parameters in model predictive control (MPC) presents significant challenges, particularly when there is a notable discrepancy between the controller’s predictions and the actual behavior of the closed-loop plant. ...