Search for dissertations about: "Hybrid filter"
Showing result 1 - 5 of 45 swedish dissertations containing the words Hybrid filter.
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1. Hybrid energy storage systems : Capacity optimization and environmental implication of hybrid energy storage systems in renewable power systems
Abstract : Electricity production contributes a large share of greenhouse gas emissions that lead to climate change. At present, power generation in many parts of the world still heavily depends on fossil fuels. To prevent global warming, the electricity sector is supposed to transition from the current fuel mix to renewable energy sources. READ MORE
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2. Analytical and Numerical Studies of Internal Swirling Flows
Abstract : Swirling flows are common in technical applications, e.g. turbines, pumps, fans, compressors and combustors. READ MORE
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3. Reconfigurable Receiver Front-Ends for Advanced Telecommunication Technologies
Abstract : The exponential growth of converging technologies, including augmented reality, autonomous vehicles, machine-to-machine and machine-to-human interactions, biomedical and environmental sensory systems, and artificial intelligence, is driving the need for robust infrastructural systems capable of handling vast data volumes between end users and service providers. This demand has prompted a significant evolution in wireless communication, with 5G and subsequent generations requiring exponentially improved spectral and energy efficiency compared to their predecessors. READ MORE
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4. Hybrid digital twins: A co-creation of data science and physics
Abstract : Safety is more important than reliability or efficiency in railway, aerospace, oil & gas, and chemical industries. Regulations are very restrictive in sectors where safety is paramount. READ MORE
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5. State Estimation for Distributed and Hybrid Systems
Abstract : This thesis deals with two aspects of recursive state estimation: distributed estimation and estimation for hybrid systems. In the first part, an approximate distributed Kalman filter is developed. Nodes update their state estimates by linearly combining local measurements and estimates from their neighbors. READ MORE