Sökning: "applied linear optimization"

Visar resultat 1 - 5 av 65 uppsatser innehållade orden applied linear optimization.

  1. 1. Real-Time Certified MPC for a Nano Quadcopter

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Arvid Linder; [2024]
    Nyckelord :MPC; Model predictive control; quadcopter; control system;

    Sammanfattning : There is a constant demand to use more advanced control methods in a wider field of applications. Model Predictive Control (MPC) is one such control method, based on recurrently solving an optimization problem for determining the optimal control signal. LÄS MER

  2. 2. Comparative Study of Genetic Algorithm Optimized FO-PID and LQR Control Strategies Applied to a Piston Pump in a Volume Calibration System

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

    Författare :Yaman Deif; [2023]
    Nyckelord :FOPID; LQR; GA; Servo Piston Pump; BLDC; Control Comparison; System Modeling; Volume Measuring.; FOPID; LQR; GA; Servo Piston Pump; BLDC; Styrjämförelse; Systemmodellering; Volymmätning.;

    Sammanfattning : One of the key responsibilities of Getinge's ventilators is to deliver accurate gas volumes to patients. To ensure this precision, specially designed rigid steel tanks are utilized to evaluate the performance and precision of the ventilators in providing exact air volume. LÄS MER

  3. 3. Reinforcement Learning for the Optimization of Explicit Runge-Kutta Method Parameters

    Kandidat-uppsats, Lunds universitet/Matematik LTH; Lunds universitet/Matematik (naturvetenskapliga fakulteten); Lunds universitet/Matematikcentrum

    Författare :Mélanie Fournier; [2023]
    Nyckelord :reinforcement learning; numerical analysis; Runge-Kutta; policy gradient; REINFORCE; Mathematics and Statistics;

    Sammanfattning : Reinforcement learning is one of the three main paradigms in machine learning, which is increasingly used as a method to approach scientific problems. In this thesis, we introduce and use reinforcement learning to find the optimal parameters of a numerical solver. LÄS MER

  4. 4. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Björn Elwin; Anton Fredriksson; [2023]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. LÄS MER

  5. 5. Phong Grass: A dynamic LOD approach to grass rendering

    Kandidat-uppsats, Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

    Författare :Oliver Klingspor; [2023]
    Nyckelord :Grass rendering; Level-of-detail; Phong tessellation;

    Sammanfattning : Background: Recreating nature in a virtual environment comes with many aspects and challenges. Grass rendering is a part of this area, and both performance and visual results must be taken into consideration. A common optimization approach is through static level-of-detail (LOD), however, a certain visual loss comes with the use of this. LÄS MER