<div class="csl-bib-body">
<div class="csl-entry">Lukina, A., Esterle, L., Hirsch, C., Bartocci, E., Yang, J., Tiwari, A., Smolka, S. A., & Grosu, R. (2017). ARES: Adaptive Receding-Horizon Synthesis of Optimal Plans. In A. Legay & T. Margaria (Eds.), <i>Tools and Algorithms for the Construction and Analysis of Systems</i> (pp. 286–302). Springer. https://doi.org/10.1007/978-3-662-54580-5_17</div>
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9783662545799
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9783662545805
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http://hdl.handle.net/20.500.12708/55463
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en
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Springer
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Lecture Notes in Computer Science
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dc.title
ARES: Adaptive Receding-Horizon Synthesis of Optimal Plans
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dc.type
Konferenzbeitrag
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Inproceedings
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Tools and Algorithms for the Construction and Analysis of Systems
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978-3-662-54579-9
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10.1007/978-3-662-54580-5
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0302-9743
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286
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302
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Full-Paper Contribution
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1611-3349
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10206
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Tools and Algorithms for the Construction and Analysis of Systems
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Springer
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Berlin, Heidelberg
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außerhalb der gesamtuniversitären Forschungsschwerpunkte
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E191-01 - Forschungsbereich Cyber-Physical Systems
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tuw.publisher.doi
10.1007/978-3-662-54580-5_17
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17
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TACAS 2017: the 23rd International Conference on Tools and Algorithms for the Construction and Analysis of Systems
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22-04-2017
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29-04-2017
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Uppsala
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SE
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Lukina, Anna
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1020
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Computer Engineering (CE)
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Computer Engineering (CE)
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science to science/art to art
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E191-01 - Forschungsbereich Cyber-Physical Systems
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E182 - Institut für Technische Informatik
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E191-01 - Forschungsbereich Cyber-Physical Systems
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E191-01 - Forschungsbereich Cyber-Physical Systems