Search for dissertations about: "recursive estimation"
Showing result 1 - 5 of 68 swedish dissertations containing the words recursive estimation.
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1. Recursive Bayesian Estimation : Navigation and Tracking Applications
Abstract : Recursive estimation deals with the problem of extracting information about parameters, or states, of a dynamical system in real time, given noisy measurements of the system output. Recursive estimation plays a central role in many applications of signal processing, system identification and automatic control. READ MORE
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2. 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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3. Parallel Stochastic Estimation on Multicore Platforms
Abstract : The main part of this thesis concerns parallelization of recursive Bayesian estimation methods, both linear and nonlinear such. Recursive estimation deals with the problem of extracting information about parameters or states of a dynamical system, given noisy measurements of the system output and plays a central role in signal processing, system identification, and automatic control. 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 Parameter Estimation and Control of Time-Varying Stochastic Systems
Abstract : This thesis is about parameter estimation and control of time-varying stochastic systems. It can be divided into two parts. The first part deals with an estimation algorithm commonly used when estimating parameters in time-varying stochastic systems, the Recursive Least Squares (RLS) algorithm with forgetting factor. READ MORE