Sökning: "Trajectory modeling"

Visar resultat 1 - 5 av 41 uppsatser innehållade orden Trajectory modeling.

  1. 1. Modeling of the trajectory of ice thrown from a wind turbine

    Master-uppsats, Lunds universitet/Institutionen för energivetenskaper

    Författare :Elena Rocchi; [2023]
    Nyckelord :Ice thrown - Ice fall - RANS - LES - CFD - simulations - ballistic model; Technology and Engineering;

    Sammanfattning : There is a growing number of wind turbines installed in cold temperature zones as a result of the restricted space for new construction. Due to ice deposition on the turbine blades, the increasing installation of wind turbines in freezing temperature areas presents many challenges: ice accumulation increases weight, unbalances the rotor, diminishes aerodynamic efficiency, and creates safety issues. LÄS MER

  3. 2. Football Trajectory Modeling Using Masked Autoencoders : Using Masked Autoencoder for Anomaly Detection and Correction for Football Trajectories

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sandra Tor; [2023]
    Nyckelord :Machine Learning; Autoencoders; Masked autoencoders; Time series; Trajectory modeling; Time series modeling; Anomaly detection; Anomaly correction; Football; Maskininlärning; Autoencoders; Maskerade autoencoders; Tidsserie; Banmodellering; Tidsseriemodellering; Avvikelsedetektering; Avvikelsekorrigering; Fotboll;

    Sammanfattning : Football trajectory modeling is a powerful tool for predicting and evaluating the movement of a football and its dynamics. Masked autoencoders are scalable self-supervised learners used for representation learning of partially observable data. LÄS MER

  4. 3. Data Driven Modeling for Aerodynamic Coefficients

    Master-uppsats, KTH/Matematisk statistik

    Författare :Erik Jonsäll; Emma Mattsson; [2023]
    Nyckelord :Master s thesis; System identification; Parameter estimation; Ordinary least squares; Machine learning; Aerodynamic coefficients; F18--HARV; Flight simulations.; Masteruppsats; Systemidentifiering; Parameteruppskattning; Minstakvadratmetoden; Maskininlärning; Aerodynamiska koefficienter; F18-HARV; Flygsimuleringar.;

    Sammanfattning : Accurately modeling aerodynamic forces and moments are crucial for understanding thebehavior of an aircraft when performing various maneuvers at different flight conditions.However, this task is challenging due to complex nonlinear dependencies on manydifferent parameters. LÄS MER

  5. 4. Vibration Avoidance Based on Model-Based Control Incorporating Input Shaping

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Chenqi Ma; [2023]
    Nyckelord :Multi-joint industrial robot; Vibration avoidance; Path deviation; Input shaping; Extended flexible joint model; Nonlinear gray-box identification; Fleraxlade industrirobotar; Vibrationsdämpning; Banavvikelse; Ingångsformning; Utökad flexibel axelmodell; Icke-linjär gray-box modell;

    Sammanfattning : VIBRATION AVOIDANCE, a technique to proactively remove unwanted or excessive vibrations in multi-joint industrial robots, has shown to be desired in various applications. A trade-off between vibration avoidance performance and path deviation has been thekey criteria for assessing the effectiveness and quality of an approach. LÄS MER

  7. 5. Analysing Regime-Switching and Cointegration with Hamiltonian Monte Carlo

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Jakob Brandt; [2023]
    Nyckelord :Time Series Econometrics; Regime-Switching; Cointegration; Markov Chain Monte Carlo; Hamiltonian Monte Carlo;

    Sammanfattning : The statistical analysis of cointegration is crucial for inferring shared stochastic trends between variables and is an important area of Econometrics for analyzing long-term equilibriums in the economy. Bayesian inference of cointegration involves the identification of cointegrating vectors that are determined up to arbitrary linear combinations, for which the Gibbs sampler is often used to simulate draws from the posterior distribution. LÄS MER