Deterministic mathematical modeling, sensitivity analysis, and dynamic optimization of cross-flow ultrafiltration systems for concentration of monoclonal antibody …

F Rossi, F da Cunha, E Ximenes, B Bowes, Z Yu… - Computers & Chemical …, 2024 - Elsevier
This manuscript proposes a general new framework for mathematical modeling, extended
sensitivity analysis and dynamic optimization of tangential flow filtration (TFF) systems for …

[HTML][HTML] Multi-agent reinforcement learning-based exploration of optimal operation strategies of semi-batch reactors

Á Sass, A Kummer, J Abonyi - Computers & Chemical Engineering, 2022 - Elsevier
The operation of semi-batch reactors requires caution because the feeding reagents can
accumulate, leading to hazardous situations due to the loss of control ability. This work aims …

[HTML][HTML] Semi-batch reactor control with NMPC avoiding thermal runaway

A Kummer, T Varga, L Nagy - Computers & Chemical Engineering, 2020 - Elsevier
Several exothermic reactions are carried out in semi-batch reactors (SBR). A not suitable
control system can lead to dangerous situations if thermal runaway develops. Reactor …

Robust feasible control based on multi-stage eNMPC considering worst-case scenarios

J Puschke, A Mitsos - Journal of Process Control, 2018 - Elsevier
The goal of this work is an efficient control scheme for the robust satisfaction of constraints
for batch processes under parametric uncertainties. The multi-stage economic nonlinear …

Model predictive control and dynamic real-time optimization of steam cracking units

F Rossi, M Rovaglio, F Manenti - Computer Aided Chemical Engineering, 2019 - Elsevier
Unlike other parts of this book, this chapter does not deal with mathematical procedures for
modeling complex reaction systems, for example, strategies for construction/reduction of …

A computational framework for integrating campaign scheduling, dynamic optimization and optimal control in multi-unit batch processes

F Rossi, D Casas-Orozco, G Reklaitis, F Manenti… - Computers & Chemical …, 2017 - Elsevier
This contribution presents a framework for addressing the campaign scheduling, dynamic
optimization and optimal control of batch processes in an integrated fashion. The strategy is …

Adjustable robust optimal control for industrial 2-Mercaptobenzothiazole production processes under uncertainty

E Liang, Z Yuan - Optimization and Engineering, 2022 - Springer
This paper focuses on the adjustable robust optimal control for industrial 2-
Mercaptobenzothiazole (MBT) production processes. To overcome the computational …

[PDF][PDF] Multi-scenario multi-objective optimization of a fuzzy motor controller for the Szabad (ka)-II hexapod robot

I Kecskés, P Odry - Acta Polytechnica Hungarica, 2018 - acta.uni-obuda.hu
The aim of this research was to develop a robust motor controller for the Szabad (ka)-II
hexapod robot. A Fuzzy-PI controller that utilized a lookup table was chosen because of its …

[HTML][HTML] NMPC-based control scheme for a semi-batch reactor under parameter uncertainty

A Kummer, L Nagy, T Varga - Computers & Chemical Engineering, 2020 - Elsevier
Exothermic reactions are often performed in SBR because the generated reaction heat can
be more easily kept under control in such construction. However, an unsuitable control …

Robust optimization of solid-liquid batch reactors under parameter uncertainty

Y Wang, LT Biegler, M Patel, J Wassick - Chemical Engineering Science, 2020 - Elsevier
Unknown parameters in batch process models can be estimated as uncertainties owing to
model mismatch, measurement errors and even the absence of variable measurements …