Search for dissertations about: "spectral methods in control systems"
Showing result 1 - 5 of 32 swedish dissertations containing the words spectral methods in control systems.
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1. Tools for Autonomous Process Control
Abstract : There is an ongoing trend towards higher automation level in process control systems. The purpose of a plant is to manufacture some product at a high production rate with a consistent quality, while minimizing the use of resources in terms of energy consumption, raw material and labor. READ MORE
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2. Experiment design with applications in identification for control
Abstract : The main part of this thesis focuses on optimal experiment design for system identification within the prediction error framework. A rather flexible framework for translating optimal experiment design into tractable convex programs is presented. The design variables are the spectral properties of the external excitations. READ MORE
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3. Dynamic Programming and Time-Varying Delay Systems
Abstract : This thesis is divided into two separate parts. The first part is about Dynamic Programming for non-trivial optimal control problems. The second part introduces some useful tools for analysis of stability and performance of systems with time-varying delays. READ MORE
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4. On Efficient Modeling, Simulation and Control of District Energy Systems
Abstract : Sustainable energy systems rely on a wide range of energy sources, where an integral part is to use the available energy as efficiently as possible. District energy systems are considered a key factor towards decarbonization as an efficient way of distributing heat and cold within urban areas and facilitating the utilization of renewable energy sources and heat recovery from, e. READ MORE
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5. Machine Learning and System Identification for Estimation in Physical Systems
Abstract : In this thesis, we draw inspiration from both classical system identification and modern machine learning in order to solve estimation problems for real-world, physical systems. The main approach to estimation and learning adopted is optimization based. READ MORE