Record link: 
http://hdl.handle.net/20.500.12708/55463
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Title: 
ARES: Adaptive Receding-Horizon Synthesis of Optimal Plans
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Citation: 
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.), Tools and Algorithms for the Construction and Analysis of Systems (pp. 286–302). Springer. https://doi.org/10.1007/978-3-662-54580-5_17
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Publisher DOI: 
10.1007/978-3-662-54580-5_17
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Publication Type: 
Inproceedings - Full-Paper Contribution
en
Authors: 
Lukina, Anna 
Esterle, Lukas 
Hirsch, Christian 
Bartocci, Ezio 
Yang, Junxing 
Tiwari, Ashish 
Smolka, Scott A. 
Grosu, Radu 
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Organisational Unit: 
E191-01 - Forschungsbereich Cyber-Physical Systems 
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Published in: 
Tools and Algorithms for the Construction and Analysis of Systems 
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ISBN: 
978-3-662-54579-9
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DOI of the book: 
10.1007/978-3-662-54580-5
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Date (published): 
2017
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Event name: 
TACAS 2017: the 23rd International Conference on Tools and Algorithms for the Construction and Analysis of Systems 
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Event date: 
22-Apr-2017 - 29-Apr-2017
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Event place: 
Uppsala, Sweden, EU
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Number of Pages: 
17
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Publisher: 
Springer, 10206
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Publisher: 
Springer, Berlin, Heidelberg
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Peer reviewed: 
Yes
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Research Areas: 
außerhalb der gesamtuniversitären Forschungsschwerpunkte: 100%
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Science Branch: 
Informatik
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Appears in Collections:
Conference Paper

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