Search for dissertations about: "neural network control"

Showing result 1 - 5 of 106 swedish dissertations containing the words neural network control.

  2. 1. Data-Rich Multivariable Control of Heavy-Duty Engines

    Author : Maria Henningsson; Institutionen för reglerteknik; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Multivariable Control; Model Predictive Control; LQG Control; Virtual Sensing; System Identification; Diesel engines; HCCI engines; Dual-Fuel Combustion; Cylinder Pressure Sensors;

    Abstract : The combustion engine is today the dominant technology for transportation of goods and people world-wide. Concerns for global warming, toxic exhaust emissions, as well as cost and availability of fuel have in recent years created incentives for technological evolution of combustion engines. READ MORE

  4. 2. Learning in the Loop : On Neural Network-based Model Predictive Control and Cooperative System Identification

    Author : Rebecka Winqvist; Bo Wahlberg; Cristian R. Rojas; Axel Ringh; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Learning; Model Predictive Control; System Identification; Optimal Transport; Inlärning; Modellprediktiv reglering; Systemidentifiering; Optimal transport; Electrical Engineering; Elektro- och systemteknik;

    Abstract : Inom reglerteknik har integrationen av maskininlärningsmetoder framträtt som en central strategi för att förbättra prestanda och adaptivitet hos styrsystem. Betydande framsteg har gjorts inom flera viktiga aspekter av reglerkretsen, såsom inlärningsbaserade metoder för systemidentifiering och parameterskattning, filtrering och brusreducering samt reglersyntes. READ MORE

  5. 3. Approximative Uncertainty in Neural Network Predictions

    Author : Magnus Malmström; Fredrik Gustafsson; Daniel Axehill; Isaac Skog; Kalle Åström; Linköpings universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Abstract : Suppose data-driven black-box models, e.g., neural networks, should be used as components in safety-critical systems such as autonomous vehicles. In that case, knowing how uncertain they are in their predictions is crucial. READ MORE

  6. 4. Human–Robot Interaction Based on Motion and Force Control

    Author : Martin Karlsson; Institutionen för reglerteknik; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Robotics; Machine Learning; Force Control; Motion Control;

    Abstract : Industrial robots typically require detailed programming and carefully configured work cells to perform well. The large engineering effort implicates high cost and long preparation time, and this is the major obstruction when mediating tasks to robots. The research in this thesis therefore aims to make robot programming faster and more accessible. READ MORE

  7. 5. Regularization Issues in Neural Network Models of Dynamical Systems

    Author : Jonas Sjöberg; Lennart Ljung; Linköpings universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Abstract : The latest era of neural networks started some ten years ago and the literature has been characterized by many successful applications, but the underlying theory is often omitted. In this thesis feed-forward neural networks are considered from a system identification point of view. READ MORE