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  • Power networks (or generally energy networks) are systems of great societal and economic relevance and impact, particularly given the recent growing emphasis on environmental issues and on sustainable substitutes (renewables) to traditional energy sources (coal, oil, nuclear). The aim of this Dagstuhl seminar (conference) is to survey existing and explore novel formal frameworks for modeling, analysis and control of complex, large scale cyber-physical systems, with emphasis on applications in power networks. The seminar will cover relevant approaches to modeling and analysis of stochastic hybrid dynamics, in the context of energy networks. It will thus foster cross-fertilization between techniques originating from disparate scientific communities, with the seminar hosting contributions from a number of different fields, such as the computer sciences, systems and control theory, power systems and probability theory.
  • Power networks (or generally energy networks) are systems of great societal and economic relevance and impact, particularly given the recent growing emphasis on environmental issues and on sustainable substitutes (renewables) to traditional energy sources (coal, oil, nuclear). The aim of this Dagstuhl seminar (conference) is to survey existing and explore novel formal frameworks for modeling, analysis and control of complex, large scale cyber-physical systems, with emphasis on applications in power networks. The seminar will cover relevant approaches to modeling and analysis of stochastic hybrid dynamics, in the context of energy networks. It will thus foster cross-fertilization between techniques originating from disparate scientific communities, with the seminar hosting contributions from a number of different fields, such as the computer sciences, systems and control theory, power systems and probability theory. (en)
Title
  • Modeling, Verification, and Control of Complex Systems for Energy Networks
  • Modeling, Verification, and Control of Complex Systems for Energy Networks (en)
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  • Modeling, Verification, and Control of Complex Systems for Energy Networks
  • Modeling, Verification, and Control of Complex Systems for Energy Networks (en)
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  • RIV/49777513:23520/14:43923252!RIV15-MSM-23520___
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  • 29864
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  • RIV/49777513:23520/14:43923252
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  • energy networks; reliability engineering and assessment; formal synthesis; complex stochastic systems; verification; control; analysis (en)
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  • [F3A176EBEEC0]
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  • Schloss Dagstuhl, Wadern, Germany
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  • Střelec, Martin
  • Abate, Alessandro
  • Fraenzle, Martin
  • Hiskens, Ian
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  • 23520
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