Plantwide Control of a Compact Modular Reconfigurable System for Continuous- Flow Pharmaceutical Manufacturing. - Anastasia Nikolakopoulou; Matthias von Andrian; Richard D. Braatz (ACC, 2019)

Fast Model Predictive Control of Startup of a Compact Modular Reconfigurable System for Continuous-Flow Pharmaceutical Manufacturing. - Anastasia Nikolakopoulou; Matthias von Andrian; Richard D. Braatz (ACC, 2020)

Feedback Control of Dynamic Artificial Neural Networks Using Linear Matrix Inequalities. - Anastasia Nikolakopoulou; Moo Sun Hong; Richard D. Braatz (CDC, 2020)

Stability Certificates for Neural Network Learning-based Controllers using Robust Control Theory. - Hoang Hai Nguyen; Tim Zieger; Sandra C. Wells; Anastasia Nikolakopoulou; Richard D. Braatz; Rolf Findeisen (ACC, 2021)

Output Feedback Control and Observer Design for Dynamic Artificial Neural Networks. - Anastasia Nikolakopoulou; Moo Sun Hong; Richard D. Braatz (ACC, 2021)

State Feedback Control of Discrete-Time Lur'e Systems with Sector-Bounded Slope-Restricted Nonlinearities. - Sandra C. Wells; Anastasia Nikolakopoulou; Richard D. Braatz (ACC, 2021)

Fast Nonlinear Model Predictive Control of Distributed Parameter Systems. - Anastasia Nikolakopoulou; Richard D. Braatz (ACC, 2022)

Dynamic state feedback controller and observer design for dynamic artificial neural network models. - Anastasia Nikolakopoulou; Moo Sun Hong; Richard D. Braatz (Autom., 2022)

Polynomial NARX-based nonlinear model predictive control of modular chemical systems. - Anastasia Nikolakopoulou; Richard D. Braatz (Comput. Chem. Eng., 2023)

Towards "tighter" titer: model predictive control in fed-batch bioreactors. - Anastasia Nikolakopoulou; Yu Luo; Zach Hatzenbeller (ACC, 2025)