Search for dissertations about: "thesis about automotive"
Showing result 16 - 20 of 106 swedish dissertations containing the words thesis about automotive.
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16. Model-driven Analysis and Verification of Automotive Embedded Systems
Abstract : Modern vehicles are equipped with electrical and electronic systems that implement highly complex functions, such as anti-lock braking, cruise control, etc. To realize and integrate such complex embedded systems, the automotive development process requires an updated methodology that takes into consideration the system’s intricate features and examines both their functional and extra-functional requirements. READ MORE
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17. Exploring technologies for service provision in automotive winter testing
Abstract : Vehicles are becoming increasingly more complex in terms of, for example. Electronic Stability Program (ESP), Antilock Braking System (ABS), Traction Control System (TCS), and Active Rollover Protection (ARP), i.e. several different control systems that have to interact to perform well when driving. READ MORE
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18. Organizational Agility and Digital Innovation Capability in Automotive Startups
Abstract : Existing research on organizational agility has primarily focused on large com- panies. This research tends to reference startups as the truly agile organizations, and it is assumed that large established corporations have much to learn from startups, especially for digital innovation. READ MORE
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19. Estimation of Nonlinear Dynamic Systems : Theory and Applications
Abstract : This thesis deals with estimation of states and parameters in nonlinear and non-Gaussian dynamic systems. Sequential Monte Carlo methods are mainly used to this end. These methods rely on models of the underlying system, motivating some developments of the model concept. READ MORE
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20. Characterizing Piecewise Linear Neural Networks
Abstract : Neural networks utilizing piecewise linear transformations between layers have in many regards become the default network type to use across a wide range of applications. Their superior training dynamics and generalization performance irrespective of the nature of the problem has resulted in these networks achieving state of the art results on a diverse set of tasks. READ MORE