Machine learning in process systems engineering: Challenges and opportunities
This “white paper” is a concise perspective of the potential of machine learning in the
process systems engineering (PSE) domain, based on a session during FIPSE 5, held in …
process systems engineering (PSE) domain, based on a session during FIPSE 5, held in …
Resolving large-scale control and optimization through network structure analysis and decomposition: A tutorial review
Decomposition is a fundamental principle of resolving complexity by scale, which is utilized
in a variety of decomposition-based algorithms for control and optimization. In this paper, we …
in a variety of decomposition-based algorithms for control and optimization. In this paper, we …
Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition
I Mitrai, P Daoutidis - Journal of Process Control, 2024 - Elsevier
Abstract Mixed integer Model Predictive Control (MPC) problems arise in the operation of
systems where discrete and continuous decisions must be taken simultaneously to …
systems where discrete and continuous decisions must be taken simultaneously to …
Machine Learning-Based Initialization of Generalized Benders Decomposition for Mixed Integer Model Predictive Control
I Mitrai, P Daoutidis - 2024 American Control Conference (ACC), 2024 - ieeexplore.ieee.org
Model predictive control (MPC) has been widely used to control and operate complex
systems. However, the efficient implementation of MPC depends on the efficient solution of …
systems. However, the efficient implementation of MPC depends on the efficient solution of …