Search for dissertations about: "automatic engine"
Showing result 1 - 5 of 41 swedish dissertations containing the words automatic engine.
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1. Embedded Systems and FPGAs for Implementation of Control Oriented Models, Applied to Combustion Engines
Abstract : Performance demands put on combustion engines are ever increasing, e.g. demands on emissions and fuel consumption. The increased demands together with new combustion concepts increase the need for feedback engine and combustion control. READ MORE
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2. Model Error Compensation in ODE and DAE Estimators : with Automotive Engine Applications
Abstract : Control and diagnosis of complex systems demand accurate information of the system state to enable efficient control and to detect system malfunction. Physical sensors are expensive and some quantities are hard or even impossible to measure with physical sensors. This has made model-based estimation an attractive alternative. READ MORE
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3. Automatic sensor clustering : connectivity for the internet of things
Abstract : Current predictions from industry envision that within a decade, the Internet will bepopulated by tens of billion of devices. Already today, smart Internet devices havesensors that provide an enormous potential for creating new applications. READ MORE
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4. Field Programmable Gate Arrays and Reconfigurable Computing in Automatic Control
Abstract : New combustion engine principles increase the demands on feedback combustion control, at the same time economical considerations currently enforce the usage of low-end control hardware limiting implementation possibilities. Significant development is simultaneously and continuously carried out within the field of Field Programmable Gate Arrays (FPGAs). READ MORE
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5. Observer Design and Model Augmentation for Bias Compensation with Engine Applications
Abstract : Control and diagnosis of complex systems demand accurate knowledge of certain quantities to be able to control the system efficiently and also to detect small errors. Physical sensors are expensive and some quantities are hard or even impossible to measure with physical sensors. This has made model-based estimation an attractive alternative. READ MORE