ISCAS OpenIR
a "hybrid" approach for synthesizing optimal controllers of hybrid systems: a case study of the oil pump industrial example
Zhao Hengjun; Zhan Naijun; Kapur Deepak; Larsen Kim G.
2012
Conference Name18th International Symposium on Formal Methods, FM 2012
SourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages471-485
Conference DateAugust 27, 2012 - August 31, 2012
Conference PlaceParis, France
Indexed TypeEI
ISSN0302-9743
ISBN9783642327582
Department(1) State Key Lab. of Comput. Sci. Institute of Software CAS Beijing China; (2) Graduate University of Chinese Academy of Sciences Beijing China; (3) Dept. of Comput. Sci. University of New Mexico Albuquerque NM United States; (4) CISS CS Aalborg University Denmark
English AbstractWe propose an approach to reduce the optimal controller synthesis problem of hybrid systems to quantifier elimination; furthermore, we also show how to combine quantifier elimination with numerical computation in order to make it more scalable but at the same time, keep arising errors due to discretization manageable and within bounds. A major advantage of our approach is not only that it avoids errors due to numerical computation, but it also gives a better optimal controller. In order to illustrate our approach, we use the real industrial example of an oil pump provided by the German company HYDAC within the European project Quasimodo as a case study throughout this paper, and show that our method improves (up to 7.5%) the results reported in [4] based on game theory and model checking. © 2012 Springer-Verlag.; We propose an approach to reduce the optimal controller synthesis problem of hybrid systems to quantifier elimination; furthermore, we also show how to combine quantifier elimination with numerical computation in order to make it more scalable but at the same time, keep arising errors due to discretization manageable and within bounds. A major advantage of our approach is not only that it avoids errors due to numerical computation, but it also gives a better optimal controller. In order to illustrate our approach, we use the real industrial example of an oil pump provided by the German company HYDAC within the European project Quasimodo as a case study throughout this paper, and show that our method improves (up to 7.5%) the results reported in [4] based on game theory and model checking. © 2012 Springer-Verlag.
KeywordErrors Game Theory Hybrid Systems Model Checking
SponsorshipDigiteo; AdaCore; SNCF; LEI; ENSTA ParisTech
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/15770
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Zhao Hengjun,Zhan Naijun,Kapur Deepak,et al. a "hybrid" approach for synthesizing optimal controllers of hybrid systems: a case study of the oil pump industrial example[C],2012:471-485.
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