Proceedings of the 19th International Conference on Hybrid Systems: Computation and Control 2016
DOI: 10.1145/2883817.2883837
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Scalable Static Hybridization Methods for Analysis of Nonlinear Systems

Abstract: Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Cited by 28 publications
(34 citation statements)
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“…Ù Û Dynamics scaling can alter the set of states reachable with executions of a fixed duration, without altering the final (time-invariant) continuous reachable set. This is practically useful, because reachability algorithms usually perform their computations using sets which correspond to continuous trajectories of a fixed duration, which is sometimes called the currently-tracked set of states [8].…”
Section: Dynamics Scaling Transformationmentioning
confidence: 99%
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“…Ù Û Dynamics scaling can alter the set of states reachable with executions of a fixed duration, without altering the final (time-invariant) continuous reachable set. This is practically useful, because reachability algorithms usually perform their computations using sets which correspond to continuous trajectories of a fixed duration, which is sometimes called the currently-tracked set of states [8].…”
Section: Dynamics Scaling Transformationmentioning
confidence: 99%
“…Model transformations can be used to derive abstractions [14][15][16]28]. Bak et al [8] use model transformations to encode a hybridization process, i.e. reduction of the analysis of non-linear hybrid automata to linear ones, also using time-triggered transitions.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…To put the existing related work in context, it is useful to consider several characteristics relating to the language considered and the transformation used, namely, whether the language is domain-specific (or general purpose), whether it supports equations, whether the transformation is done at compile-time (or runtime), whether the tool performs let-insertion (to avoid code duplication), whether the language is statically typed, and whether the tool provide accurate source level error reporting. The systems that we will consider are partial evaluation systems for C, namely, C-mix [16] and Tempo [10]; template instantiation mechanisms, namely, C++ Templates [11] and Template Haskell [27]; multi-stage programming languages, namely, MetaOCaml [11] and LMS [25]; the Verilog Preprocessor [26]; and the hybridization technique [4]. Table 1 provides an overview of how these different systems related to these key properties.…”
Section: Related Workmentioning
confidence: 99%
“…In this setting, a given system is replaced by an abstraction where the system state space is partitioned and the original nonlinear dynamics is replaced with a simpler one in each induced partition. The resulting abstraction can either keep some approximated version of continuous dynamics [3,2] or reason in discrete terms only [19,20,18]. In the following, we consider discrete abstractions of hybrid systems.…”
Section: Introductionmentioning
confidence: 99%