Search for dissertations about: "Electrical Engineering with specialization in Automatic Control"
Showing result 11 - 15 of 38 swedish dissertations containing the words Electrical Engineering with specialization in Automatic Control.
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11. Nonlinear System Identification and Control Applied to Selective Catalytic Reduction Systems
Abstract : The stringent regulations of emission levels from heavy duty vehicles create a demand for new methods for reducing harmful emissions from diesel engines. This thesis deals with the modelling of the nitrogen oxide (NOx) emissions from heavy duty vehicles using a selective catalyst as an aftertreatment system, utilising ammonia (NH3) for its reduction. READ MORE
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12. Input-Output Stability Analysis of Networked Control Systems
Abstract : The main focus of the thesis is to derive stability criteria for networked control system (NCS) models featuring imperfections such as time-varying and constant delays, quantization, packet dropouts, and non-uniform sampling intervals. The main method of proof is based on matrix algebra, as opposed to methods using Lyapunov functions or integral quadratic constraints (IQC). READ MORE
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13. Causal MMSE Filters for Personal Audio : A Polynomial Matrix Approach
Abstract : This thesis is devoted to the study of synthesis of causal filters for generating personal sound zones. Personal sound zones, personal audio or personal sound is the theory and practice of steering sound in such a way that it is amplified in one region and suppressed in another. READ MORE
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14. Identification Techniques for Mathematical Modeling of the Human Smooth Pursuit System
Abstract : This thesis proposes nonlinear system identification techniques for the mathematical modeling of the human smooth pursuit system (SPS) with application to motor symptom quantification in Parkinson's disease (PD). The SPS refers to the complex neuromuscular system in humans that governs the smooth pursuit eye movements (SPEM). READ MORE
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15. Parallel Stochastic Estimation on Multicore Platforms
Abstract : The main part of this thesis concerns parallelization of recursive Bayesian estimation methods, both linear and nonlinear such. Recursive estimation deals with the problem of extracting information about parameters or states of a dynamical system, given noisy measurements of the system output and plays a central role in signal processing, system identification, and automatic control. READ MORE