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Anastasia Nikolakopoulou
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2020 – today
- 2023
- [j2]Anastasia Nikolakopoulou, Richard D. Braatz
:
Polynomial NARX-based nonlinear model predictive control of modular chemical systems. Comput. Chem. Eng. 177: 108272 (2023) - 2022
- [j1]Anastasia Nikolakopoulou, Moo Sun Hong, Richard D. Braatz:
Dynamic state feedback controller and observer design for dynamic artificial neural network models. Autom. 146: 110622 (2022) - [c7]Anastasia Nikolakopoulou, Richard D. Braatz:
Fast Nonlinear Model Predictive Control of Distributed Parameter Systems. ACC 2022: 994-999 - 2021
- [c6]Sandra C. Wells, Anastasia Nikolakopoulou, Richard D. Braatz:
State Feedback Control of Discrete-Time Lur'e Systems with Sector-Bounded Slope-Restricted Nonlinearities. ACC 2021: 2382-2387 - [c5]Anastasia Nikolakopoulou, Moo Sun Hong, Richard D. Braatz:
Output Feedback Control and Observer Design for Dynamic Artificial Neural Networks. ACC 2021: 2613-2618 - [c4]Hoang Hai Nguyen, Tim Zieger, Sandra C. Wells, Anastasia Nikolakopoulou, Richard D. Braatz, Rolf Findeisen:
Stability Certificates for Neural Network Learning-based Controllers using Robust Control Theory. ACC 2021: 3564-3569 - 2020
- [c3]Anastasia Nikolakopoulou
, Matthias von Andrian, Richard D. Braatz
:
Fast Model Predictive Control of Startup of a Compact Modular Reconfigurable System for Continuous-Flow Pharmaceutical Manufacturing. ACC 2020: 2778-2783 - [c2]Anastasia Nikolakopoulou
, Moo Sun Hong, Richard D. Braatz:
Feedback Control of Dynamic Artificial Neural Networks Using Linear Matrix Inequalities. CDC 2020: 2210-2215
2010 – 2019
- 2019
- [c1]Anastasia Nikolakopoulou
, Matthias von Andrian, Richard D. Braatz
:
Plantwide Control of a Compact Modular Reconfigurable System for Continuous- Flow Pharmaceutical Manufacturing. ACC 2019: 2158-2163
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