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Fundamentals of economic model predictive control
The goal of most current advanced control systems is to guide a process to a target setpoint
rapidly and reliably. Model predictive control has become a popular technology in many …
rapidly and reliably. Model predictive control has become a popular technology in many …
Optimal scheduling of industrial combined heat and power plants under time-sensitive electricity prices
S Mitra, L Sun, IE Grossmann - Energy, 2013 - Elsevier
Combined heat and power (CHP) plants are widely used in industrial applications. In the
aftermath of the recession, many of the associated production processes are under-utilized …
aftermath of the recession, many of the associated production processes are under-utilized …
On the role of the necessary conditions of optimality in structuring dynamic real-time optimization schemes
D Bonvin, B Srinivasan - Computers & chemical engineering, 2013 - Elsevier
In dynamic optimization problems, the optimal input profiles are typically obtained using
models that predict the system behavior. In practice, however, process models are often …
models that predict the system behavior. In practice, however, process models are often …
[PDF][PDF] Practical applications of industrial optimization: from high-speed embedded controllers to large discrete utility systems
J Currie - 2014 - core.ac.uk
Optimization of large-scale industrial systems requires not only state-of-the-art numerical
algorithms, but also accurate tailor-made underlying models to ensure the solution is both …
algorithms, but also accurate tailor-made underlying models to ensure the solution is both …
Optimal ammonia injection for emissions control in power plants
S Shah, S Abrol, S Balram, J Barve - IFAC-PapersOnLine, 2015 - Elsevier
One of the effective devices to reduce NO x in power plants is the ammonia based selective
catalyst reduction (SCR) system. In this paper, kinetic SCR model simulator is tuned and …
catalyst reduction (SCR) system. In this paper, kinetic SCR model simulator is tuned and …
Towards model predictive control of supercritical CO2 cycles
V Bone, M Kearney, I Jahn - arxiv preprint arxiv:2108.12127, 2021 - arxiv.org
Control of non-condensing non-ideal-gas power cycles is challenging because their output
power dynamics depend on complex system interactions, non-ideal-gas effects complicate …
power dynamics depend on complex system interactions, non-ideal-gas effects complicate …
Model predictive control of the high-pressure side of simple supercritical CO2 cycle
V Bone, M Kearney, I Jahn - 2023 American Control …, 2023 - ieeexplore.ieee.org
Control of non-condensing non-ideal-gas power cycles is challenging because of their
complex nonlinear dynamics and the presence of state constraints. This article presents a …
complex nonlinear dynamics and the presence of state constraints. This article presents a …