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Real-time optimization of load sharing for gas compressors in the presence of uncertainty
(Elsevier, 2020-08)
This paper investigates the problem of load-sharing optimization of gas compressors in the presence of uncertainty. The objective is to operate a set of compressor units in an energy-efficient way, while at the same time ...
A new dual modifier-adaptation approach for iterative process optimization with inaccurate models
(Pergamon-Elsevier Science Ltd, 2013-12-05)
In order to deal with plant-model mismatch, iterative process optimization schemes use some adaptation strategy based on measurements. The modifier-adaptation approach consists in performing first-order corrections of the ...
NMPC controller applied to the operation of an internal combustion engine: formulation and solution of the optimization problem in real time
(Springer-Verlag France, 2018-02-01)
Numerical optimization solve problems efficiently where such efficiency is focused on the speed with which the optimal x* is achieved, is open line of research and strong work in the scientific community in order to achieve ...
NMPC controller applied to the operation of an internal combustion engine: formulation and solution of the optimization problem in real time
(Springer-Verlag France, 2018-02-01)
Numerical optimization solve problems efficiently where such efficiency is focused on the speed with which the optimal x* is achieved, is open line of research and strong work in the scientific community in order to achieve ...
Active directional modifier adaptation for real-time optimization
(Pergamon-Elsevier Science Ltd, 2018-07)
Modifier adaptation is a real-time optimization (RTO) methodology that uses plant gradient estimates to correct model gradients, thereby driving the plant to optimality. However, obtaining accurate gradient estimates ...
Robust real-time optimization of a solid oxide fuel cell stack
(American Society of Mechanical Engineers, 2011)
Modifier Adaptation as a Feedback Control Scheme
(American Chemical Society, 2020-02)
As a real-time optimization technique, modifier adaptation (MA) has gained much significance in recent years. This is mainly due to the fact that MA can deal explicitly with structural plant-model mismatch and unknown ...
Statistical Simplex Method for Experimental Design in Process Optimization
(American Chemical Society, 2005-11)
Experimental optimization with scarce and noisy process data is a key issue in laboratory automation for faster chemical process research and development, real-time process optimization, and the ability to embed a learning ...
Energy-aware scheduling mandatory/optional tasks in multicore real-time systems
(Wiley, 2017-01)
Reward-based scheduling of real-time systems of periodic, preemptable, and independent tasks with mandatory and optional parts in homogeneous multiprocessors with energy considerations is a problem that has not been analyzed ...
A Reactive-Iterative Optimization Algorithm for Scheduling of Air Separation Units under Uncertainty in Electricity Prices
(Pergamon-Elsevier Science Ltd, 2020-11)
The high energy demand in power-intensive processes and the possibility of reducing the energy bills by an optimal scheduling are the motivation for incorporating energy consideration in the production scheduling of air ...