Essays about: "Error modeling"

Showing result 11 - 15 of 198 essays containing the words Error modeling.

  1. 11. Dynamic Modeling of Heat Power System : Modeling of a Heat Power System Using Physical and Data-driven Methods and Investigation of a Moving Boundary Method

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

    Author : Albin Gustafsson; [2023]
    Keywords : System identification; Dynamic modeling; Organic Rankine cycle; Moving boundary; Thermodynamics.; System identifikation; Dynamisk modellering; Organisk Rankinecykel; Rörliga randvillkor; Termodynamik.;

    Abstract : Our society is becoming more and more electrified every day. However, a significant portion of the world’s electricity generation relies on the combustion of fossil fuels to produce heat, which is subsequently harnessed to generate electricity. One way of generating electricity from heat is by utilizing a Rankine cycle. READ MORE

  3. 12. 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

  4. 13. Enhancing Servo System Performance : Robust Nonlinear Deadbeat Predictive Current Control for Permanent Magnet Synchronous Motors

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

    Author : Xingyu Zhao; [2023]
    Keywords : keywords here: Deadbeat Predictive Current Control; Permanent Magnet Synchronous Motor; Flux Linkage Nonlinearity; Parameter Inaccuracies; Nonlinear Feedforward Compensation; Delayed Integral Action.; Deadbeat-prediktiv strömreglerin; Permanenta magnet-synkronmotorn; Ickelinjäriteter i flödeslänkningen; Felaktigheter i parametrar; Icke-linjär framåtmatningskompensation; Fördröjd integralåtgärd.;

    Abstract : The Permanent Magnet Synchronous Motor (PMSM, also known as the servo motor) is a crucial component within robotic servo systems. To optimally respond to the torque demands sent from the high-level motion controller, the PMSM current controller must track the reference with speed and precision. READ MORE

  5. 14. Investigating the Estimation of the infection rate and the fraction of infections leading to death in epidemiological simulation

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Jakob Gölén; [2023]
    Keywords : Epidemics; Compartmental Models; Parameter Inference; Synthetic Bootstrap; Infection Rate;

    Abstract : The main goal of this project is to investigate the behaviors of parameters used when modeling an epidemic. A stochastic SIHDRe model is used to simulate how an epidemic evolves over time. READ MORE

  6. 15. Minimizing network utilization in event-triggered control of multi-agent system

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Anton Hässler; [2023]
    Keywords : Technology and Engineering;

    Abstract : The exact solution to a set of equations modeling the event-triggered control of a multi-agent system is derived and computed up to a specified error on the time between events. An attempt to minimize the number of events of the solution subject to bounds on overshoot and convergence time is made using a differential evolution method. READ MORE