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| Content Provider | ACM Digital Library |
|---|---|
| Author | Schilling, Christian Bogomolov, Sergiy Jiang, Yu Henzinger, Thomas A. Kong, Hui |
| Abstract | In this paper, we propose an approach to automatically compute invariant clusters for nonlinear semialgebraic hybrid systems. An invariant cluster for an ordinary differential equation (ODE) is a multivariate polynomial invariant g(u, x)=0, parametric in u, which can yield an infinite number of concrete invariants by assigning different values to u so that every trajectory of the system can be overapproximated precisely by the intersection of a group of concrete invariants. For semialgebraic systems, which involve ODEs with multivariate polynomial right-hand sides, given a template multivariate polynomial g(u, x), an invariant cluster can be obtained by first computing the remainder of the Lie derivative of g(u,x) divided by g(u, x) and then solving the system of polynomial equations obtained from the coefficients of the remainder. Based on invariant clusters and sum-of-squares (SOS) programming, we present a new method for the safety verification of hybrid systems. Experiments on nonlinear benchmark systems from biology and control theory show that our approach is efficient. |
| Starting Page | 163 |
| Ending Page | 172 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450345903 |
| DOI | 10.1145/3049797.3049814 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-04-13 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Invariant Sos programming Nonlinear system Hybrid system Safety verification Semialgebraic system |
| Content Type | Text |
| Resource Type | Article |
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