{"file":[{"access_level":"open_access","file_id":"4873","relation":"main_file","file_name":"IST-2017-817-v1+1_p163-kong.pdf","content_type":"application/pdf","date_updated":"2020-07-14T12:47:34Z","file_size":1650530,"date_created":"2018-12-12T10:11:20Z","checksum":"b7667434cbf5b5f0ade3bea1dbe5bf63","creator":"system"}],"publisher":"ACM","type":"conference","publist_id":"7067","oa":1,"abstract":[{"text":"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. ","lang":"eng"}],"conference":{"name":"HSCC: Hybrid Systems Computation and Control ","location":"Pittsburgh, PA, United States","end_date":"2017-04-20","start_date":"2017-04-18"},"oa_version":"Submitted Version","date_published":"2017-04-01T00:00:00Z","department":[{"_id":"ToHe"}],"title":"Safety verification of nonlinear hybrid systems based on invariant clusters","pubrep_id":"817","file_date_updated":"2020-07-14T12:47:34Z","publication_identifier":{"isbn":["978-145034590-3"]},"date_created":"2018-12-11T11:47:47Z","language":[{"iso":"eng"}],"page":"163 - 172","day":"01","ddc":["000"],"scopus_import":1,"publication":"Proceedings of the 20th International Conference on Hybrid Systems","month":"04","citation":{"short":"H. Kong, S. Bogomolov, C. Schilling, Y. Jiang, T.A. Henzinger, in:, Proceedings of the 20th International Conference on Hybrid Systems, ACM, 2017, pp. 163–172.","ieee":"H. Kong, S. Bogomolov, C. Schilling, Y. Jiang, and T. A. Henzinger, “Safety verification of nonlinear hybrid systems based on invariant clusters,” in <i>Proceedings of the 20th International Conference on Hybrid Systems</i>, Pittsburgh, PA, United States, 2017, pp. 163–172.","apa":"Kong, H., Bogomolov, S., Schilling, C., Jiang, Y., &#38; Henzinger, T. A. (2017). Safety verification of nonlinear hybrid systems based on invariant clusters. In <i>Proceedings of the 20th International Conference on Hybrid Systems</i> (pp. 163–172). Pittsburgh, PA, United States: ACM. <a href=\"https://doi.org/10.1145/3049797.3049814\">https://doi.org/10.1145/3049797.3049814</a>","ama":"Kong H, Bogomolov S, Schilling C, Jiang Y, Henzinger TA. Safety verification of nonlinear hybrid systems based on invariant clusters. In: <i>Proceedings of the 20th International Conference on Hybrid Systems</i>. ACM; 2017:163-172. doi:<a href=\"https://doi.org/10.1145/3049797.3049814\">10.1145/3049797.3049814</a>","chicago":"Kong, Hui, Sergiy Bogomolov, Christian Schilling, Yu Jiang, and Thomas A Henzinger. “Safety Verification of Nonlinear Hybrid Systems Based on Invariant Clusters.” In <i>Proceedings of the 20th International Conference on Hybrid Systems</i>, 163–72. ACM, 2017. <a href=\"https://doi.org/10.1145/3049797.3049814\">https://doi.org/10.1145/3049797.3049814</a>.","mla":"Kong, Hui, et al. “Safety Verification of Nonlinear Hybrid Systems Based on Invariant Clusters.” <i>Proceedings of the 20th International Conference on Hybrid Systems</i>, ACM, 2017, pp. 163–72, doi:<a href=\"https://doi.org/10.1145/3049797.3049814\">10.1145/3049797.3049814</a>.","ista":"Kong H, Bogomolov S, Schilling C, Jiang Y, Henzinger TA. 2017. Safety verification of nonlinear hybrid systems based on invariant clusters. Proceedings of the 20th International Conference on Hybrid Systems. HSCC: Hybrid Systems Computation and Control , 163–172."},"publication_status":"published","status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"orcid":"0000-0002-3066-6941","id":"3BDE25AA-F248-11E8-B48F-1D18A9856A87","last_name":"Kong","first_name":"Hui","full_name":"Kong, Hui"},{"first_name":"Sergiy","orcid":"0000-0002-0686-0365","last_name":"Bogomolov","full_name":"Bogomolov, Sergiy"},{"last_name":"Schilling","first_name":"Christian","full_name":"Schilling, Christian"},{"first_name":"Yu","last_name":"Jiang","full_name":"Jiang, Yu"},{"full_name":"Henzinger, Thomas A","id":"40876CD8-F248-11E8-B48F-1D18A9856A87","orcid":"0000−0002−2985−7724","last_name":"Henzinger","first_name":"Thomas A"}],"date_updated":"2021-01-12T08:08:17Z","has_accepted_license":"1","doi":"10.1145/3049797.3049814","quality_controlled":"1","year":"2017","_id":"663"}