Sökning: "Optimeringslära och systemteori"

Visar resultat 1 - 5 av 256 uppsatser innehållade orden Optimeringslära och systemteori.

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. Numerical simulations oflovastatin crystallization in aT-shaped 2D mixer

   Master-uppsats, KTH/Optimeringslära och systemteori

   Författare :Anton Bergman; [2023]
   Nyckelord :;

   Sammanfattning : The rise of battery driven technology and the strive towards circular economy calls for the indefinite recycling of metals used in batteries. To be able to study and optimize the processes used in recycling, mathematical models are required. LÄS MER

4. 3. Minimum Cost Distributed Computing using Sparse Matrix Factorization

   Master-uppsats, KTH/Optimeringslära och systemteori

   Författare :Seif Hussein; [2023]
   Nyckelord :Applied mathematics; optimization; convex optimization; matrix factorization; sparse matrix factorization; distributed computing; linearly separable distributed computing; ADMM; alternating direction method of multipliers; tillämpad matematik; optimering; konvex optimering; matrisfaktorisering; gles matrisfaktorisering; distribuerade beräkningar; admm; alternating direction method of multipliers;

   Sammanfattning : Distributed computing is an approach where computationally heavy problems are broken down into more manageable sub-tasks, which can then be distributed across a number of different computers or servers, allowing for increased efficiency through parallelization. This thesis explores an established distributed computing setting, in which the computationally heavy task involves a number of users requesting a linearly separable function to be computed across several servers. LÄS MER

5. 4. Optimal Control of An Energy Storage System Providing Fast Charging and Ancillary Services

   Master-uppsats, KTH/Optimeringslära och systemteori

   Författare :Max Völcker; Hugo Rolff; [2023]
   Nyckelord :Optimal Control; Model Predictive Control; Dynamic Programming; State-Space Representation; Monte Carlo Simulation; Frequency Regulation; Fast Charging; Energy Storage Systems; Net Present Value; Optimal styrteori; Modell-prediktiv reglering; Dynamisk programmering; Frekvensreglering; Snabbladdning; Energilager; Nuvärde;

   Sammanfattning : In this thesis, we explore the potential of financing a fast charging system with energy storage by delivering ancillary services from the energy storage in an optimal way. Specifically, a system delivering frequency regulation services FCR-D Up and FCR-D Down in combination with energy arbitrage trading is considered. LÄS MER

7. 5. Trajectory Optimisation of a Spacecraft Swarm Maximising Gravitational Signal

   Master-uppsats, KTH/Optimeringslära och systemteori

   Författare :Rasmus Maråk; [2023]
   Nyckelord :Spacecraft Swarms; Trajectory Optimisation; Impulsive Manoeuvres; Evolutionary Algorithms; Polyhedral Gravity Model; Small Body Exploration; Discrete Spherical Grids; Svärmande rymdfarkoster; Banoptimering; Impulsiva manövrar; Evolutionära Algoritmer; Polyhedral gravitationsmodell; Utforksning av små kroppar i solsystemet; Diskreta sfäriska rutnät;

   Sammanfattning : Proper modelling of the gravitational fields of irregularly shaped asteroids and comets is an essential yet challenging part of any spacecraft visit and flyby to these bodies. Accurate density representations provide crucial information for proximity missions, which rely heavily on it to design safe and efficient trajectories. LÄS MER