Sökning: "Inversa problem"

Visar resultat 1 - 5 av 13 uppsatser innehållade orden Inversa problem.

  1. 1. Short-horizon Prediction of Indoor Temperature using Low-Order Thermal Networks : A case study of thermal models for heat-system control applications

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

    Författare :Jonas Cederberg; [2023]
    Nyckelord :Lumped Parameter Thermal Network; Resistance-Capacitance model; Parameter estimation; Modelling of Dynamical Systems; Thermal modelling; Temperature Prediction; Termiskt nätverk med klumpade parametrar; Mostånds-kapacitans modell; Parameterestimering; Modellering av dynamiska system; Termisk modellering; Temperaturprediktion.;

    Sammanfattning : Optimizing and controlling the heating systems in buildings is one way to decrease their load on the power grid, as well as introduce load flexibility to be used in Demand Response (DR) applications. A requirement in occupied buildings is that the thermal comfort of the residents is guaranteed, making the optimization of heating systems a constrained problem with respect to indoor temperature. LÄS MER

  3. 2. Deep Neural Networks for dictionary-based 5G channel estimation with no ground truth in mixed SNR scenarios

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

    Författare :Matteo Ferrini; [2022]
    Nyckelord :5G; Channel Estimation; Sparse Linear Inverse Problem; Approximate Message Passing; Neural Networks; 5G; kanaluppskattning; sparsamt linjärt inversproblem; approximativ meddelandeöverföring; neurala nätverk;

    Sammanfattning : Channel estimation is a fundamental task for exploiting the advantages of massive Multiple-Input Multiple-Output (MIMO) systems in fifth generation (5G) wireless technology. Channel estimates require solving sparse linear inverse problems that is usually performed with the Least Squares method, which brings low complexity but high mean squared error values. LÄS MER

  4. 3. A Physics-Informed Deep Learning Framework for Solving Inverse Problems in Epidemiology

    Master-uppsats, KTH/Optimeringslära och systemteori

    Författare :Magnus Tronstad; [2022]
    Nyckelord :;

    Sammanfattning : This thesis develops and evaluates a physics-informed neural network (PINN) modelling framework for solving inverse problems in epidemiology. The PINN works by modifying the standard mean squared error loss function of the neural network, by adding a term penalizing deviations from a given compartmental model's system of ordinary differential equations. LÄS MER

  5. 4. Measuring the impact of noise on quantum Fourier transforms

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Arami Alfarhani; Elias Gustafsson; [2022]
    Nyckelord :;

    Sammanfattning : The field of quantum computing has progressed quickly during recent years, but errors caused by quantum noise still remain as a major issue that prevents accurate computations from being performed on quantum computers. In this study, we measure the impact that these errors have on one of the most fundamental quantum operations, the quantum Fourier transform. LÄS MER

  7. 5. Inversa problem för resistornätverk

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Emma Mattsson; Felicia Eriksson; [2021]
    Nyckelord :;

    Sammanfattning : I alla elektriska apparater finns det elektriska kretsar som behövs för att kunna utnyttja strömmens energi, som i sin tur gör att apparaten kan fungera. Antag att den elektriska kretsen, enbart består av resistorer, har en känd struktur men att resistorernas resistanser är okänd. LÄS MER