Essays about: "tillståndsestimering"

Showing result 1 - 5 of 6 essays containing the word tillståndsestimering.

1. 1. Machine Learning for State Estimation in Fighter Aircraft

   University essay from KTH/Optimeringslära och systemteori

   Author : Axel Boivie; [2023]
   Keywords : State estimation; machine learning; fighter aircraft; neural networks; long short- term memory; LSTM; sensor fusion; air data system; ADS.; Tillståndsestimering; maskininlärning; stridsflygplan; neurala nätverk; sensorfusion; luftdatasystem.;

   Abstract : This thesis presents an estimator to assist or replace a fighter aircraft’s air datasystem (ADS). The estimator is based on machine learning and LSTM neuralnetworks and uses the statistical correlation between states to estimate the angleof attack, angle of sideslip and Mach number using only the internal sensorsof the aircraft. READ MORE

3. 2. Invariant Extended Kalman Filter for Measurements on Lie Groups

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Viktor Kull; [2021]
   Keywords : ;

   Abstract : Since its creation, the extended Kalman filter (EKF) has become an industry standard for state estimation. However, the EKF is designed for Euclidean spaces, which causes challenges when adapting it to non-Euclidean spaces such as Lie groups, which includes 3D attitude. READ MORE

4. 3. Belief-aided Robust Control for Remote Electrical Tilt Optimization

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jack Jönsson; [2021]
   Keywords : Mobile Network Optimization; Remote Electrical Tilt; Robust Control; Reinforcement Learning; Partially Observable Markov Decision Process; Belief State Estimation; Bayesian Neural Network; Optimering av Mobilnätverk; Fjärrstyrning av Elektrisk Lutning; Robust Reglering; Delvis Observerbar Markovprocess; Tillståndsestimering; Bayesiskt Neuralt Nätverk;

   Abstract : Remote Electrical Tilt (RET) is a method for configuring antenna downtilt in base stations to optimize mobile network performance. Reinforcement Learning (RL) is an approach to automating the process by letting an agent learn an optimal control strategy and adapt to the dynamic environment. READ MORE

5. 4. Improvement of an existing Integrated Vehicle Dynamics Control System influencing an urban electric car

   University essay from KTH/Flygdynamik

   Author : Arihant Sureka; [2020]
   Keywords : model predicitve control; MPCA; vehicle dynamics; Single track model; Rear wheel steering; kalametric; state estimation; design matrix; aliasing; kalman filter; projectionalgorithm; resolution; model predicitve control; MPCA; kalametric; tillståndsestimering; designmatris; vikningsdistorsion; kalmanfilter; projection algorithm; upplösning;

   Abstract : The Integrated Vehicle Dynamics Control (IVDC) concept can influence the vehicle behaviour both longitudinally and laterally with just one upper level control concept and further lower level controllers. This demands for state estimation of the vehicle which also includes estimating parameters of interest for the vehicle dynamicist. READ MORE

6. 5. Modularized Battery Management Systems for Lithium-Ion Battery Packs in EVs

   University essay from KTH/Skolan för elektro- och systemteknik (EES)

   Author : Yizhou Zhang; [2016]
   Keywords : battery management system; electric vehicle; Kalman Filter; Li-ion battery cell model; state estimation; BMS; elbil; Kalmanfiltrering; litiumjonbatterimodell; tillståndsestimering;

   Abstract : The (Battery management system)BMS has the task of ensuring that for the individual bat-tery cell parameters such as the allowed operating voltage window or the allowable temperature range are not violated. Since the battery itself is a highly distinct nonlinear electrochemical de-vice it is hard to detect its internal characteristics directly. READ MORE