Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"least-squares parameter estimation"”.
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Analysing Dynamic Processes in Range Data Sequences
… and local expansion rates. For the velocity estimation novel differential constraint equations for the depth and intensity data are introduced. These constraint equations are then combined in a general total least squares parameter estimation framework. It turns out that this method can be …
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A non-clinical method to simultaneously estimate thermal conductivity, volumetric specific heat, and perfusion of in-vivo tissue
… using a modified Pennes' equation. Using a least-squares parameter estimation method with regularization, the thermal properties could be estimated from the temperature response to the known applied heat flux. The method was tested experimentally using a new agar-water tissue phantom …
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Identifiability and parameter estimation in rail vehicle dynamics
… analysts can benefit from the results of vehicle parameter estimation. Using this technique, they can determine the effects of suspension design decisions, and they can reduce the amount of on-track testing required to qualify new designs for service. This work addresses two major issues: the …
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Modeling of pCO2 Point-of-Care Devices
… fluids. The two most influential and uncertain parameters in the model are determined to be the forward rate constant for benzoquinone consumption at the gold surface ( k_(f_Au ) ), and the partition coefficient for CO2 between the membrane and the electrolyte (κ_(〖CO〗_(2_m ) )). These …
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Analysis of the CNV waveform in the time and frequency domains.
… compared: a non-recursive method using ordinary least squares parameter estimation developed by Nichols and a recursive least squares technique developed by Ifeachor. Recursive OAR was observed to distort the CNV response. This was discovered to be due to omission of the response from the …
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Global Nonlinear Modeling Using Automated Local Model Networks in Real Time
… of the cell structure. Recursive equation-error least-squares parameter estimation in the time domain is used to estimate a model that represents the local system behavior in each region so that the model can be updated independently with data in the explanatory variable ranges of each cell, even …
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Adaptive Quaternion Control for a Miniature Tailsitter UAV
… conventional attitude representation arise in estimation and control as the system departs from level flight conditions. Furthermore, changing dynamics and limitations in modeling and sensing give rise to significant attitude control design challenges. Restrictions in computation also result …