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We also derive improved estimates for the system parameters, including its mass, radius, and orbital ephemeris.
In this paper, the system parameters including the dead time are estimated by the proposed extended polynomial identification method.
A variety of system parameters, including reaction time, conductivity, and overall thermal stability, were noted to change systematically depending on the systems chosen.
The effects of some uncertain system parameters including uncertain mesh stiffnesses and uncertain bearing stiffnesses on the frequency responses of the system are also discussed in detail.
The influences of system parameters including the temperature, channel height, inlet velocity, and inlet pressure on the diffusion of oxygen in GDL are also examined systematically.
For oscillators with a non-observable hysteretic force it is demonstrated that the non-linear filtering approach can be extended to allow estimation of all the relevant system parameters, including the oscillator mass.
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The system parameters include the eccentricity of the superstructure, the uncoupled torsional to lateral frequencies ratio of the superstructure, the eccentricity of the isolator, and the uncoupled torsional to lateral base isolation frequencies ratio of the isolator.
The recorded fracture system parameters include orientation, intensity (number of fractures per meter), connectivity, aperture, and whether the fractures are cemented or not.
In order to investigate the optimization of the design parameters of the VTE-MED system coupled with NHR-200 [1], effects of system design parameters (including system effect number, material of heat transfer tube, geometric size of heat transfer tube, feed seawater temperature and top brine temperature) on performance of the VTE-MED system were analyzed by using the developed code [2].
The obtained system's parameters, including the dead volume, are then used for the ASPEN simulation.
To enhance the performance of the TMD system, its parameters, including mass, stiffness, and damping ratio, have been optimally designed using multi-objective genetic algorithms.
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CEO of Professional Science Editing for Scientists @ prosciediting.com