Essays about: "inversa problem"

Showing result 1 - 5 of 9 essays containing the words 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

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

    Author : Jonas Cederberg; [2023]
    Keywords : 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.;

    Abstract : 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. READ MORE

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

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

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

    Abstract : 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. READ MORE

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

    University essay from KTH/Optimeringslära och systemteori

    Author : Magnus Tronstad; [2022]
    Keywords : ;

    Abstract : 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. READ MORE

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

    University essay from KTH/Datavetenskap

    Author : Arami Alfarhani; Elias Gustafsson; [2022]
    Keywords : ;

    Abstract : 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. READ MORE

  6. 5. Solving an inverse problem for an elliptic equation using a Fourier-sine series.

    University essay from Linköpings universitet/Matematiska institutionen

    Author : Olivia Linder; [2019]
    Keywords : Regularization; ill-posed problem; Fourier-sine series; Regularisering; illaställt problem; Fouriersinusserie;

    Abstract : This work is about solving an inverse problem for an elliptic equation. An inverse problem is often ill-posed, which means that a small measurement error in data can yield a vigorously perturbed solution. Regularization is a way to make an ill-posed problem well-posed and thus solvable. READ MORE