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To validate our theoretical analysis, numerical investigation is conducted by using a low order model.
This is due to the need to stabilize the high order time-varying augmented system using a low order stabilizer in a robust fashion and with desirable transient performance.
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The CCIR M3000F2 model uses a low order of spherical harmonics and therefore cannot reproduce the sunrise and sunset peaks (D. Bilitza, personal communication, 2011).
A preferred approach is to use a low order lumped parameter model with only specific enthalpies through the evaporator as state variables to design an extended Kalman filter to integrate a (derived) measurement of the evaporator outlet specific enthalpy.
A procedure for design of a support structure using a low-order mathematical model is also shown.
We provide a preliminary example of how the technique may be applied using a low-order linear ARX model.
We show that second-moment solutions obtained using a low-order Y-based SME formulation are significantly better than those from K-based formulations, especially when σY2>1.
In all spectra, the real part of the time-domain quadrature signal was selected, background corrected in both dimensions using a low-order polynomial fit, zero-filled to 256×256 data points and apodised with a Hamming window function.
The proposed combination can be used as a low order yet effective method in model-based AVC of arbitrary mechanical/civil structures.
An on-line sequential analysis of the temperature measurements along the length of the reactor, allows a fast and time-adaptive selection of the best measurements to be used in a low order, simple and robust control scheme.
All sounds were presented in mono via MRI-compatible electrostatic headphones and normalised using a low-pass 4th order Butterworth filter at 5000 Hz.
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