TY - GEN
T1 - Reducing the wrapping effect in flowpipe construction using pseudo-invariants (work in progress)
AU - Bak, Stanley
N1 - Publisher Copyright:
Copyright 2014 ACM.
PY - 2014/4/14
Y1 - 2014/4/14
N2 - The reachability problem for a nonlinear hybrid automaton is often decomposed into steps where continuous successors are computed, and steps where discrete transitions and reset maps are processed. In this paper, we will show one method which can reduce the wrapping effect in the continuous-successor computation stage. A reduction in the wrapping effect can lead to both reduced error and reduced computation time. The key insight behind the proposed method is that, when computing continuous successors, time need not be tracked precisely. We split an individual mode of a hybrid automaton into a pair of modes by introducing an artificial invariant (and associated transition) which we call a pseudo-invariant. The resultant hybrid automaton is a bisimulation of the original one, and thus their exact set of reachable states is identical. However, since time information is often dropped across discrete transitions, practical methods for overapproximating reachability can experience less wrapping-effect error when run on the constructed bisimulation. We demonstrate the advantage of the approach of pseudo-invariants by computing reachability for a nonlinear dynamical system using Flow∗, a state-of-the-art reachability tool.
AB - The reachability problem for a nonlinear hybrid automaton is often decomposed into steps where continuous successors are computed, and steps where discrete transitions and reset maps are processed. In this paper, we will show one method which can reduce the wrapping effect in the continuous-successor computation stage. A reduction in the wrapping effect can lead to both reduced error and reduced computation time. The key insight behind the proposed method is that, when computing continuous successors, time need not be tracked precisely. We split an individual mode of a hybrid automaton into a pair of modes by introducing an artificial invariant (and associated transition) which we call a pseudo-invariant. The resultant hybrid automaton is a bisimulation of the original one, and thus their exact set of reachable states is identical. However, since time information is often dropped across discrete transitions, practical methods for overapproximating reachability can experience less wrapping-effect error when run on the constructed bisimulation. We demonstrate the advantage of the approach of pseudo-invariants by computing reachability for a nonlinear dynamical system using Flow∗, a state-of-the-art reachability tool.
UR - https://www.scopus.com/pages/publications/84942320009
U2 - 10.1145/2593458.2593471
DO - 10.1145/2593458.2593471
M3 - Conference contribution
AN - SCOPUS:84942320009
T3 - Proceedings of the 4th ACM Workshop on Design, Modeling and Evaluation of Cyber Physical Systems, CyPhy 2014
SP - 40
EP - 43
BT - Proceedings of the 4th ACM Workshop on Design, Modeling and Evaluation of Cyber Physical Systems, CyPhy 2014
PB - Association for Computing Machinery
T2 - 4th ACM Workshop on Design, Modeling and Evaluation of Cyber Physical Systems, CyPhy 2014
Y2 - 14 April 2014 through 17 April 2014
ER -