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Numerical results show the effectiveness of the proposed method of model reference adaptive control.
An advantage of this method of model discrimination is that it does not require novel reagents, or altered measurement techniques; the only change to the experiment is the time course of stimulation.
Updated models have been obtained by a recently proposed method of model updating based on constrained optimization and by an iterative method of model updating based on the modal data.
An updated model is obtained by employing a method of model updating based on the constrained optimisation.
In this work, a new design method of model predictive control (MPC) is proposed for uncertain systems with input constraints.
The paper first briefly describes ejector including fundamental principle, flowing and mixing mechanism and the method of model establishment.
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Another method of model-game integration is the use of games to inform the modeling process, particularly in the case of behavioral models.
In this paper, performance-based parameter tuning method of model-driven Two-Degree-of-Freedom PID (MD TDOF PID) control system has been proposed to enhance the control performances of a process.
Artificial Neural Networks are used as the method of modeling.
The method of models, however, offers no hope for proving the consistency of an axiomatic theory of sets.
This section briefly discusses method of modeling each pixel as a mixture of Gaussians and using an on-line approximation to update the model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com