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In this work a strategy to evaluate a-priori the complexity of the model to be used, based on time scales, is proposed and tested.
These outcomes of evolution are distinguished based on time scale as macroevolution versus microevolution.
The first method is based on time-frequency analysis and the second one is based on time-scale analysis.
To overcome this problem, a high-frequency regeneration method based on time-scaling the open phase of the glottal source waveform has been used so as to reduce the OQ which in turn boosts the energy at the high-frequency region of the source spectrum to fill the energy hole.
Problem of the tracking PI/PID multivariable controller design based on time-scale separation technique (singular perturbation technique) for MIMO nonlinear systems is discussed.
Visual modelling facilitates the generation of process model structures, their splitting into sub-structures based on time-scale assumptions and more generally model reduction.
The proposed control law is based on time-scale decomposition, and is able to achieve the desired altitude by selecting a desired angular velocity, and the associated collective pitch angle of the blades.
An important sub-class is based on time-scale separation.
It shows that our reduction approach performs differently from other approaches that are based on time-scale separation.
Yet another approach based on time-scale separation, but which usually completely eliminates the non-dynamic states, is known as lumping [ 8, 10].
A second observer design is based on a time scaled block triangular form.
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