Sökning: "state estimator"

Visar resultat 1 - 5 av 41 uppsatser innehållade orden state estimator.

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

    Master-uppsats, KTH/Optimeringslära och systemteori

    Författare :Axel Boivie; [2023]
    Nyckelord :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.;

    Sammanfattning : 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. LÄS MER

  3. 2. World Bank Assisted Intervention Development Projects on Poverty Alleviation in Nigeria: An Impact Evaluation of National FADAMA III in Enugu State.

    Master-uppsats, Lunds universitet/Statsvetenskapliga institutionen

    Författare :Chinedu Maduekwe; [2023]
    Nyckelord :Keywords: poverty; poverty alleviation; impact evaluation; Fadama; Fadama III.; Law and Political Science;

    Sammanfattning : This evaluation research which deals with the World Bank-assisted intervention development programme known as Fadama III in Nigeria precisely sought to investigate how the National Fadama III Intervention Development Project impacted poverty alleviation of the residents of Enugu State that participated in the project in relation to their income level. The study made use of 168 benefiting households in the Fadama III project and 67 non-benefiting households that were randomly selected. LÄS MER

  4. 3. Active Learning for Solving Expensive Optimization Problems

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Siwei Fu; [2022]
    Nyckelord :;

    Sammanfattning : Many practical engineering and computer science problems can be translated into a global otimization problem where the task is to find the best (optimal) vector 𝒙𝒙∗ that gives the smallest possible function value 𝑓𝑓 = 𝑓𝑓(𝒙𝒙∗) for some function 𝑓𝑓() of interest. Often the function 𝑓𝑓() is expensive in the sense that it cannot be easily evaluated computationally or experimentally in terms of time and/or resources required. LÄS MER

  5. 4. The V-SLAM Hurdler : A Faster V-SLAM System using Online Semantic Dynamic-and-Hardness-aware Approximation

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

    Författare :Liu Mingxuan; [2022]
    Nyckelord :Approximate Computing; Deep Learning; Dynamic Environments; Object Detection; Online Controller; Semantic SLAM; Ungefärlig Beräkning; Djup Lärning; Dynamiska miljöer; Objektdetektion; Online Kontroller; Semantisk SLAM;

    Sammanfattning : Visual Simultaneous Localization And Mapping (V-SLAM) and object detection algorithms are two critical prerequisites for modern XR applications. V-SLAM allows XR devices to geometrically map the environment and localize itself within the environment, simultaneously. LÄS MER

  7. 5. Kalman-Filter Design and Evaluation for PMSM Rotor-Temperature Estimation

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Daniel Mårtensson; [2022]
    Nyckelord :Technology and Engineering;

    Sammanfattning : The permanent magnet synchronous motor, PMSM, is an efficient electrical motor that has seen a greater prevalence in the automotive industry from the increasing demand for electrical vehicles. Managing the temperature of the permanent magnet rotor is important to optimize motor utilization and avoid hardware failures. LÄS MER