Search for dissertations about: "Kalman filter hybrid"

Showing result 1 - 5 of 11 swedish dissertations containing the words Kalman filter hybrid.

  2. 1. Toward Sequential Data Assimilation for NWP Models Using Kalman Filter Tools

    Author : Jelena Bojarova; Rolf Sundberg; Krzysztof Podgorski; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; non-Gaussian state space models; Kalman filtering; ETKF; 3D-Var; data assimilation; NWP; Mathematical statistics; Matematisk statistik; matematisk statistik; Mathematical Statistics;

    Abstract : The aim of the meteorological data assimilation is to provide an initial field for Numerical Weather Prediction (NWP) and to sequentially update the knowledge about it using available observations. Kalman filtering is a robust technique for the sequential estimation of the unobservable model state based on the linear regression concept. READ MORE

  4. 2. Instrumentation for silicon tracking at the HL-LHC

    Author : Rebecca Carney; Samuel Silverstein; Sara Strandberg; Thomas Schön; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Instrumentation; physics; particle physics; atlas; radiation damage; neuromorphic; kalman filter; fysik; Physics;

    Abstract : In 2027 the Large Hadron Collider (LHC) at CERN will enter a high luminosity phase, deliver- ing 3000 fb 1 over the course of ten years. The High Luminosity LHC (HL-LHC) will increase the instantaneous luminosity delivered by a factor of 5 compared to the current operation pe- riod. READ MORE

  5. 3. Feedback Control and Sensor Fusion of Vision and Force

    Author : Tomas Olsson; Institutionen för reglerteknik; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; sensor based robot control; Visual tracking; visual servoing; resource optimization; Kalman filter;

    Abstract : This thesis deals with feedback control using two different sensor types, force sensors and cameras. In many tasks robotics compliance is required in order to avoid damage to the workpiece. Force and vision are the most useful sensing capabilities for a robot system operating in an unknown or uncalibrated environment. READ MORE

  6. 4. Iterative Road Grade Estimation for Heavy Duty Vehicle Control

    Author : Per Sahlholm; Karl Henrik Johansson; Jonas Sjöberg; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; road grade; estimation; heavy duty vehicle; Kalman filter; automatic control; Automatic control; Reglerteknik;

    Abstract : This thesis presents a new method for iterative road grade estimation based on sensors that are commonplace in modern heavy duty vehicles. Estimates from multiple passes of the same road segment are merged together to form a road grade map, that is improved each time the vehicle revisits an already traveled route. READ MORE

  7. 5. State Estimation for Distributed and Hybrid Systems

    Author : Peter Alriksson; Institutionen för reglerteknik; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Joint Maximum a Posteriori Estimation; Sensor Networks; Distributed State Estimation; Networked Embedded Systems; Markov Jump Linear Systems; Sensor Scheduling;

    Abstract : This thesis deals with two aspects of recursive state estimation: distributed estimation and estimation for hybrid systems. In the first part, an approximate distributed Kalman filter is developed. Nodes update their state estimates by linearly combining local measurements and estimates from their neighbors. READ MORE