Search for dissertations about: "Markov Decision Process"
Showing result 21 - 25 of 28 swedish dissertations containing the words Markov Decision Process.
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21. Cooperative Planning Control and Formation Control of Multi-Agent Systems
Abstract : Cooperative planning control is an active topic of research, with many practical applications including multi-robot systems, transportation, multi-point surveillance and biological systems. The contributions of this thesis lie in the scope of three topics: formation control, time-constrained cooperative planning control and probabilistic control synthesis, all of the them in the framework of multi-agent systems. READ MORE
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22. Machine learning using approximate inference : Variational and sequential Monte Carlo methods
Abstract : Automatic decision making and pattern recognition under uncertainty are difficult tasks that are ubiquitous in our everyday life. The systems we design, and technology we develop, requires us to coherently represent and work with uncertainty in data. READ MORE
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23. Development and adaptation of a life cycle management system for constructed work
Abstract : Lifetime Engineering (or Life Cycle Engineering) is a technical approach for meeting the current objective of sustainable development. The approach is aimed to turn today’s reactive and short-term design, management and maintenance planning towards an optimised and long-term technical approach. READ MORE
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24. 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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25. On risk-coherent input design and Bayesian methods for nonlinear system identification
Abstract : System identification deals with the estimation of mathematical models from experimental data. As mathematical models are built for specific purposes, ensuring that the estimated model represents the system with sufficient accuracy is a relevant aspect in system identification. READ MORE