Search for dissertations about: "error estimation"
Showing result 1 - 5 of 440 swedish dissertations containing the words error estimation.
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1. Estimation-based iterative learning control
Abstract : In many applications industrial robots perform the same motion repeatedly. One way of compensating the repetitive part of the error is by using iterative learning control (ILC). The ILC algorithm makes use of the measured errors and iteratively calculates a correction signal that is applied to the system. READ MORE
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2. EM Estimation in Phase Type Models
Abstract : This thesis consists of four articles whose theme in common is the class of phase type distributions. In the first article an EM algorithm is presented to estimate the parameters of a phase type distribution of fixed order. Also, it is shown that the algorithm can be used to approximate other continuous distributions by phase type distributions. READ MORE
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3. Model Reduction and Parameter Estimation for Diffusion Systems
Abstract : Diffusion is a phenomenon in which particles move from regions of higher density to regions of lower density. Many physical systems, in fields as diverse as plant biology and finance, are known to involve diffusion phenomena. Typically, diffusion systems are modeled by partial differential equations (PDEs), which include certain parameters. READ MORE
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4. Automation of front-end loaders : electronic self leveling and payload estimation
Abstract : A growing population is driving automatization in agricultural industry to strive for more productive arable land. Being part of this process, this work is aimed to investigate the possibility to implement sensor-based automation in a particular system called Front End Loader, which is a lifting arms that is commonly mounted on the front of a tractor. READ MORE
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5. On the Mean Square Error of Transfer Function Estimates with Applications to Control
Abstract : In this report we study the mean square error of transfer function estimates obtained by identification. The model quality is related to the use of models in regulator design, and the properties of affecting the bias part of the mean square error, both in fixed parameter control and adaptive control. READ MORE