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The parameters of the converter are obtained through mathematical programming, together with the tuning parameters of the controller, in this case an Sliding Model Control strategy, this one being in charge of ensuring that the process responds adequately under a wide range of demands.
Finally, real time control results using Internal Model Control strategy are presented.
The efficiencies of generalized model, control strategy and diagnostic procedure are illustrated with simulation results.
In this paper, a nonlinear inverse model control strategy based on neural network is proposed for MSF desalination plant.
An adaptive internal model control strategy that is capable of providing effective and robust control for pH neutralization has been developed.
Then, by appropriately selecting the time constants of the closed-loop isolated subsystems in the IMC (Internal Model Control) strategy, the defined local robust performance problems are solved.
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This chapter focuses on the three areas: process control, motion control, and production automation and explains their system models, control strategies, control devices, and control implementations.
The new similarity relations draw a quantitative connection between different levels of model abstraction, and allow to quantitatively refine over complex models control strategies synthesised on simpler ones.
Extensive research work has been performed to discuss the modeling, control strategies and schedulable potential of AC loads for peak load reduction in the past decades [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15].
Finally, a series of experiments were performed to validate the kinematic model, static model and control strategy of micro-gripper.
This paper details a multiple model adaptive control strategy for model predictive control (MPC).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com