Search for dissertations about: "Karl H. Johansson"
Showing result 21 - 25 of 33 swedish dissertations containing the words Karl H. Johansson.
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21. Approximate Methods of Optimal Control via Dynamic Programming Models
Abstract : Optimal control theory has a long history and broad applications. Motivated by the goal of obtaining insights through unification and taking advantage of the abundant capability to generate data and perform online simulation, this thesis studies the discrete-time infinite horizon optimal control problems and introduces some approximate solution methods via abstract dynamic programming (DP) models. READ MORE
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22. Approximate Solution Methods to Optimal Control Problems via Dynamic Programming Models
Abstract : Optimal control theory has a long history and broad applications. Motivated by the goal of obtaining insights through unification and taking advantage of the abundant capability to generate data, this thesis introduces some suboptimal schemes via abstract dynamic programming models. READ MORE
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23. Analysis, Detection, and Mitigation of Attacks in Cyber-physical Systems
Abstract : Cyber-Physical Systems (CPS) offer close integration among computational elements, communication networks, and physical processes. Such systems play an increasingly important role in a large variety of fields, such as manufacturing, health care, environment, transportation, defence, and so on. READ MORE
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24. An Emulation-Based Performance Evaluation Methodology for Edge Computing and Latency Sensitive Applications
Abstract : Cloud Computing, with its globally-accessible nature and virtually unlimited scalability, has revolutionized our daily lives since its widespread adoption in the early 2000s. It allows us to access our documents anywhere, keep in touch with friends, back up photos, and even remotely control our appliances. READ MORE
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25. Complexity-aware Decision-making with Applications to Large-scale and Human-in-the-loop Systems
Abstract : This thesis considers control systems governed by autonomous decision-makers and humans. We formalise and compute low-complex control policies with applications to large-scale systems, and propose human interaction models for controllers to compute interaction-aware decisions. READ MORE