Sökning: "Systemdynamik"
Visar resultat 1 - 5 av 9 uppsatser innehållade ordet Systemdynamik.
1. Dynamic Power Systems Modeling: Power Plant Types, Demand, and Environmental Impacts
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : It is increasingly important to understand the dynamics of power systems. Most notably, thetransition towards renewable energy sources will radically change the way our power systemworks. A better understanding of the system dynamics is crucial to smoothly transitiontoward a sustainable system without undesirable side effects. LÄS MER
2. Modelling of Sustainable Transportation System of a City: A System Dynamics Approach
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In this study, a system dynamics approach was employed to model the transportationdynamics of a city. This is to try and encapsulate the feedback relationships between thedifferent aspects of a transportation system. LÄS MER
3. Cybersecurity in Railways : Identifying and Communicating Risks using System Dynamics Modeling
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Extensive digitization is currently underway in the railway sector, which has resulted in several benefits and improvements, but also challenges. The increased use of digital technologies increases the risks of vulnerabilities and susceptibility to cyberattacks. LÄS MER
4. Using simulated dynamics and graph metrics to compare brain networks of MCI patients and healthy control subjects
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In recent years, several different methods have been proposed to compare brain networks with the joint use of graph theory and graph metrics. Another relatively unexplored comparison method is comparing the brain’s response to various input signals by simulating the brain’s dynamics. LÄS MER
5. Learning model predictive control with application to quadcopter trajectory tracking
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In thiswork, we develop a learning model predictive controller (LMPC) for energy-optimaltracking of periodic trajectories for a quadcopter. The main advantage of this controller isthat it is “reference-free”. Moreover, the controller is able to improve its performance overiterations by incorporating learning from the previous iterations. LÄS MER