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Model based techniques are increasingly applied to develop mechatronic systems.
In this context, model based techniques are very attractive.
Clustering algorithms are categorized into five major categories namely, Partitioning techniques, Hierarchical techniques, Density Based techniques, Grid Based techniques and Model based techniques.
The main idea is that the integration of model based techniques having different underlying formalisms can give valuable practical results in test construction.
Additionally, in many application areas standards and norms require the usage of model based techniques to guarantee the quality of safety critical systems.
This paper highlights how the Process Systems Engineering (PSE) community and the practitioners of desalination can address sustainable freshwater issue of tomorrow's world via desalination using model based techniques.
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The fault condition and location of faults are successfully detected by this model based technique.
In this study a model based technique for fault diagnosis of rotor bearing system is described.
This paper discusses a model based technique, viz., observers for detecting and isolating parametric and sensor faults.
Six gasoline blends were formulated through a computer aided model based technique "Mixed Integer Non-Linear Programming" (MINLP).
The feedback linearization method was associated with a model based technique to furnish the immeasurable variables required by the nonlinear control algorithm.
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