Piecewise robust barrier tubes for nonlinear hybrid systems with uncertainty

Kong H, Bartocci E, Jiang Y, Henzinger TA. 2019. Piecewise robust barrier tubes for nonlinear hybrid systems with uncertainty. 17th International Conference on Formal Modeling and Analysis of Timed Systems. FORMATS: Formal Modeling and Analysis of Timed Systems, LNCS, vol. 11750, 123–141.


Conference Paper | Published | English

Scopus indexed
Author
Kong, HuiISTA ; Bartocci, Ezio; Jiang, Yu; Henzinger, Thomas AISTA
Series Title
LNCS
Abstract
Piecewise Barrier Tubes (PBT) is a new technique for flowpipe overapproximation for nonlinear systems with polynomial dynamics, which leverages a combination of barrier certificates. PBT has advantages over traditional time-step based methods in dealing with those nonlinear dynamical systems in which there is a large difference in speed between trajectories, producing an overapproximation that is time independent. However, the existing approach for PBT is not efficient due to the application of interval methods for enclosure-box computation, and it can only deal with continuous dynamical systems without uncertainty. In this paper, we extend the approach with the ability to handle both continuous and hybrid dynamical systems with uncertainty that can reside in parameters and/or noise. We also improve the efficiency of the method significantly, by avoiding the use of interval-based methods for the enclosure-box computation without loosing soundness. We have developed a C++ prototype implementing the proposed approach and we evaluate it on several benchmarks. The experiments show that our approach is more efficient and precise than other methods in the literature.
Publishing Year
Date Published
2019-08-13
Proceedings Title
17th International Conference on Formal Modeling and Analysis of Timed Systems
Volume
11750
Page
123-141
Conference
FORMATS: Formal Modeling and Analysis of Timed Systems
Conference Location
Amsterdam, The Netherlands
Conference Date
2019-08-27 – 2019-08-29
ISSN
eISSN
IST-REx-ID

Cite this

Kong H, Bartocci E, Jiang Y, Henzinger TA. Piecewise robust barrier tubes for nonlinear hybrid systems with uncertainty. In: 17th International Conference on Formal Modeling and Analysis of Timed Systems. Vol 11750. Springer Nature; 2019:123-141. doi:10.1007/978-3-030-29662-9_8
Kong, H., Bartocci, E., Jiang, Y., & Henzinger, T. A. (2019). Piecewise robust barrier tubes for nonlinear hybrid systems with uncertainty. In 17th International Conference on Formal Modeling and Analysis of Timed Systems (Vol. 11750, pp. 123–141). Amsterdam, The Netherlands: Springer Nature. https://doi.org/10.1007/978-3-030-29662-9_8
Kong, Hui, Ezio Bartocci, Yu Jiang, and Thomas A Henzinger. “Piecewise Robust Barrier Tubes for Nonlinear Hybrid Systems with Uncertainty.” In 17th International Conference on Formal Modeling and Analysis of Timed Systems, 11750:123–41. Springer Nature, 2019. https://doi.org/10.1007/978-3-030-29662-9_8.
H. Kong, E. Bartocci, Y. Jiang, and T. A. Henzinger, “Piecewise robust barrier tubes for nonlinear hybrid systems with uncertainty,” in 17th International Conference on Formal Modeling and Analysis of Timed Systems, Amsterdam, The Netherlands, 2019, vol. 11750, pp. 123–141.
Kong H, Bartocci E, Jiang Y, Henzinger TA. 2019. Piecewise robust barrier tubes for nonlinear hybrid systems with uncertainty. 17th International Conference on Formal Modeling and Analysis of Timed Systems. FORMATS: Formal Modeling and Analysis of Timed Systems, LNCS, vol. 11750, 123–141.
Kong, Hui, et al. “Piecewise Robust Barrier Tubes for Nonlinear Hybrid Systems with Uncertainty.” 17th International Conference on Formal Modeling and Analysis of Timed Systems, vol. 11750, Springer Nature, 2019, pp. 123–41, doi:10.1007/978-3-030-29662-9_8.
All files available under the following license(s):
Copyright Statement:
This Item is protected by copyright and/or related rights. [...]

Link(s) to Main File(s)
Access Level
OA Open Access

Export

Marked Publications

Open Data ISTA Research Explorer

Web of Science

View record in Web of Science®

Sources

arXiv 1907.11514

Search this title in

Google Scholar
ISBN Search