| ŠMIJÁKOVÁ, Eva, Samuel PASTVA, David ŠAFRÁNEK and Luboš BRIM. Parallel Parameter Synthesis for Multi-affine Hybrid Systems from Hybrid CTL Specifications. (Parallel Parameter Synthesis for Multi-affine Hybrid Systems from Hybrid CTL Specifications). Online. In Abate A., Petrov T., Wolf V. Computational Methods in Systems Biology. CMSB 2020. Lecture Notes in Computer Science, vol 12314. Cham: Springer, Cham, 2020, p. 280-297. ISBN 978-3-030-60326-7. Available from: https://dx.doi.org/10.1007/978-3-030-60327-4_15. |
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@inproceedings{1685211,
author = {Šmijáková, Eva and Pastva, Samuel and Šafránek, David and Brim, Luboš},
address = {Cham},
booktitle = {Computational Methods in Systems Biology. CMSB 2020. Lecture Notes in Computer Science, vol 12314},
doi = {http://dx.doi.org/10.1007/978-3-030-60327-4_15},
editor = {Abate A., Petrov T., Wolf V.},
keywords = {Hybrid systems; Parameter synthesis; Rectangular abstraction; Semi-symbolic; Hybrid CTL},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Cham},
isbn = {978-3-030-60326-7},
pages = {280-297},
publisher = {Springer, Cham},
title = {Parallel Parameter Synthesis for Multi-affine Hybrid Systems from Hybrid CTL Specifications.},
url = {https://link.springer.com/chapter/10.1007/978-3-030-60327-4_15},
year = {2020}
}
TY - JOUR
ID - 1685211
AU - Šmijáková, Eva - Pastva, Samuel - Šafránek, David - Brim, Luboš
PY - 2020
TI - Parallel Parameter Synthesis for Multi-affine Hybrid Systems from Hybrid CTL Specifications.
PB - Springer, Cham
CY - Cham
SN - 9783030603267
KW - Hybrid systems
KW - Parameter synthesis
KW - Rectangular abstraction
KW - Semi-symbolic
KW - Hybrid CTL
UR - https://link.springer.com/chapter/10.1007/978-3-030-60327-4_15
N2 - We consider the parameter synthesis problem for multi-affine hybrid systems and properties specified using a hybrid extension of CTL (HCTL). The goal is to determine the sets of parameter valuations for which the given hybrid system satisfies the desired HCTL property. As our main contribution, we propose a shared-memory parallel algorithm which efficiently computes such parameter valuation sets. We combine a rectangular discretisation of the continuous dynamics with the discrete transitions of the hybrid system to obtain a single over-approximating semi-symbolic transition system. Such system can be then analysed using a fixed-point parameter synthesis algorithm to obtain all satisfying parametrisations. We evaluate the scalability of the method and demonstrate its applicability in a biological case study.
ER -
ŠMIJÁKOVÁ, Eva, Samuel PASTVA, David ŠAFRÁNEK and Luboš BRIM. Parallel Parameter Synthesis for Multi-affine Hybrid Systems from Hybrid CTL Specifications. (Parallel Parameter Synthesis for Multi-affine Hybrid Systems from Hybrid CTL Specifications). Online. In Abate A., Petrov T., Wolf V. \textit{Computational Methods in Systems Biology. CMSB 2020. Lecture Notes in Computer Science, vol 12314}. Cham: Springer, Cham, 2020, p.~280-297. ISBN~978-3-030-60326-7. Available from: https://dx.doi.org/10.1007/978-3-030-60327-4\_{}15.
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