Sökning: "Recursive estimation"

Visar resultat 1 - 5 av 68 avhandlingar innehållade orden Recursive estimation.

  1. 1. Recursive Bayesian Estimation : Navigation and Tracking Applications

    Författare :Niclas Bergman; Fredrik Gustafsson; Lennart Ljung; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Target tracking; Autonomous aircraft navigation; Terrain navigation;

    Sammanfattning : 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. LÄS MER

  2. 2. Model Reduction and Parameter Estimation for Diffusion Systems

    Författare :Bharath Bhikkaji; Torsten Söderström; Claes Breitholtz; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Diffusion system; Partial differential equations PDEs ; Model reduction; PDE solvers; Finite difference approximation; Chebyshev polynomials; System identification; Parameter estimation; Recursive estimation; Frequency domain estimation; Signal processing; Signalbehandling;

    Sammanfattning : 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. LÄS MER

  3. 3. Parallel Stochastic Estimation on Multicore Platforms

    Författare :Olov Rosén; Alexander Medvedev; Petar Djuric; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Recursive estimation; Parallelization; Bayesian estimation; Anomaly detection; Elektroteknik med inriktning mot reglerteknik; Electrical Engineering with specialization in Automatic Control;

    Sammanfattning : 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. LÄS MER

  4. 4. Automation of front-end loaders : electronic self leveling and payload estimation

    Författare :I Yung; Leonid Freidovich; Sven Rönnbäck; Carlos Vázquez; Tomas Nygren; Heikki Handroos; Umeå universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Front-End Loaders; Electronic Self Leveling; Modeling; Control; Disturbance estimation; Payload estimation; Equations of motion; Pressure-based friction;

    Sammanfattning : 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. LÄS MER

  5. 5. On Parameter Estimation and Control of Time-Varying Stochastic Systems

    Författare :Bengt Lindoff; Matematisk statistik; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Statistics; Adaptive Predictive Control; Adaptive Stochastic Control; Dual Control; Convergence Analysis; Quadratic Forms; Forgetting Factor; Recursive Least Squares; Recursive Estimation; Linear Systems; Time-Varying Stochastic Systems; operations research; programming; actuarial mathematics; Statistik; operationsanalys; programmering; aktuariematematik;

    Sammanfattning : 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. LÄS MER