Sökning: "datadriven reglerteknik"

Hittade 2 uppsatser innehållade orden datadriven reglerteknik.

  1. 1. Trajectory Optimization of Smart City Scenarios Using Learning Model Predictive Control

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

    Författare :Mustafa Al-Janabi; [2023]
    Nyckelord :LMPC; multi-agent control; Smart City; Data-driven Control; multi-level autonomy; LMPC; smarta städer; multiagentsystem; datadriven reglerteknik;

    Sammanfattning : Smart cities embrace cutting-edge technologies to improve transportation efficiency and safety. With the rollout of 5G and an ever-growing network of connected infrastructure sensors, real-time road condition awareness is becoming a reality. However, this progress brings new challenges. LÄS MER

  3. 2. Physics-Informed Deep Learning for System Identification of Autonomous Underwater Vehicles : A Lagrangian Neural Network Approach

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

    Författare :Badi Mirzai; [2021]
    Nyckelord :AUV; System Identification; Deep Learning; Physics-Informed Deep Learning; Lagrangian Neural Networks; AUV; System Identifiering; Djupinlärning; Fysik-Informerad Djupinlärning; Lagrangianska Neurala Nätverk;

    Sammanfattning : In this thesis, we explore Lagrangian Neural Networks (LNNs) for system identification of Autonomous Underwater Vehicles (AUVs) with 6 degrees of freedom. One of the main challenges of AUVs is that they have limited wireless communication and navigation under water. LÄS MER