Essays about: "Trajectory modeling"
Showing result 1 - 5 of 39 essays containing the words Trajectory modeling.
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1. Modeling of the trajectory of ice thrown from a wind turbine
University essay from Lunds universitet/Institutionen för energivetenskaperAbstract : 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. READ MORE
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2. Football Trajectory Modeling Using Masked Autoencoders : Using Masked Autoencoder for Anomaly Detection and Correction for Football Trajectories
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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3. Data Driven Modeling for Aerodynamic Coefficients
University essay from KTH/Matematisk statistikAbstract : 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. READ MORE
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4. Vibration Avoidance Based on Model-Based Control Incorporating Input Shaping
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : 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. READ MORE
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5. Analysing Regime-Switching and Cointegration with Hamiltonian Monte Carlo
University essay from Uppsala universitet/Statistiska institutionenAbstract : 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. READ MORE