{"license":"https://creativecommons.org/licenses/by-nc-sa/4.0/","publisher":"Institute of Science and Technology Austria","supervisor":[{"last_name":"Chatterjee","orcid":"0000-0002-4561-241X","first_name":"Krishnendu","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","full_name":"Chatterjee, Krishnendu"}],"month":"11","date_created":"2023-11-15T13:39:10Z","alternative_title":["ISTA Thesis"],"publication_status":"published","file":[{"checksum":"f23e002b0059ca78e1fbb864da52dd7e","file_name":"main.pdf","file_id":"14540","relation":"main_file","content_type":"application/pdf","file_size":2116426,"access_level":"open_access","creator":"cchlebak","success":1,"date_updated":"2023-11-15T13:43:28Z","date_created":"2023-11-15T13:43:28Z"},{"date_created":"2023-11-15T13:44:24Z","date_updated":"2023-11-15T13:44:24Z","access_level":"closed","creator":"cchlebak","file_size":35884057,"content_type":"application/x-zip-compressed","relation":"source_file","file_id":"14541","file_name":"thesis_source.zip","checksum":"80ca37618a3c7b59866875f8be9b15ed"}],"_id":"14539","degree_awarded":"PhD","status":"public","project":[{"_id":"0599E47C-7A3F-11EA-A408-12923DDC885E","name":"Formal Methods for Stochastic Models: Algorithms and Applications","grant_number":"863818","call_identifier":"H2020"},{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program","grant_number":"665385","call_identifier":"H2020"}],"doi":"10.15479/14539","oa_version":"Published Version","department":[{"_id":"KrCh"},{"_id":"GradSch"}],"date_updated":"2024-01-16T11:58:15Z","type":"dissertation","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","file_date_updated":"2023-11-15T13:44:24Z","ec_funded":1,"page":"256","author":[{"full_name":"Zikelic, Dorde","id":"294AA7A6-F248-11E8-B48F-1D18A9856A87","first_name":"Dorde","last_name":"Zikelic","orcid":"0000-0002-4681-1699"}],"day":"15","language":[{"iso":"eng"}],"oa":1,"abstract":[{"lang":"eng","text":"Stochastic systems provide a formal framework for modelling and quantifying uncertainty in systems and have been widely adopted in many application domains. Formal\r\nverification and control of finite state stochastic systems, a subfield of formal methods\r\nalso known as probabilistic model checking, is well studied. In contrast, formal verification and control of infinite state stochastic systems have received comparatively\r\nless attention. However, infinite state stochastic systems commonly arise in practice.\r\nFor instance, probabilistic models that contain continuous probability distributions such\r\nas normal or uniform, or stochastic dynamical systems which are a classical model for\r\ncontrol under uncertainty, both give rise to infinite state systems.\r\nThe goal of this thesis is to contribute to laying theoretical and algorithmic foundations\r\nof fully automated formal verification and control of infinite state stochastic systems,\r\nwith a particular focus on systems that may be executed over a long or infinite time.\r\nWe consider formal verification of infinite state stochastic systems in the setting of\r\nstatic analysis of probabilistic programs and formal control in the setting of controller\r\nsynthesis in stochastic dynamical systems. For both problems, we present some of the\r\nfirst fully automated methods for probabilistic (a.k.a. quantitative) reachability and\r\nsafety analysis applicable to infinite time horizon systems. We also advance the state\r\nof the art of probability 1 (a.k.a. qualitative) reachability analysis for both problems.\r\nFinally, for formal controller synthesis in stochastic dynamical systems, we present a\r\nnovel framework for learning neural network control policies in stochastic dynamical\r\nsystems with formal guarantees on correctness with respect to quantitative reachability,\r\nsafety or reach-avoid specifications.\r\n"}],"year":"2023","date_published":"2023-11-15T00:00:00Z","tmp":{"short":"CC BY-NC-SA (4.0)","image":"/images/cc_by_nc_sa.png","name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode"},"related_material":{"record":[{"relation":"part_of_dissertation","status":"public","id":"1194"},{"id":"12000","relation":"part_of_dissertation","status":"public"},{"id":"9644","relation":"part_of_dissertation","status":"public"},{"id":"12511","status":"public","relation":"part_of_dissertation"},{"id":"14600","relation":"part_of_dissertation","status":"public"},{"id":"14601","relation":"part_of_dissertation","status":"public"},{"status":"public","relation":"part_of_dissertation","id":"10414"}]},"title":"Automated verification and control of infinite state stochastic systems","citation":{"ista":"Zikelic D. 2023. Automated verification and control of infinite state stochastic systems. Institute of Science and Technology Austria.","mla":"Zikelic, Dorde. <i>Automated Verification and Control of Infinite State Stochastic Systems</i>. Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/14539\">10.15479/14539</a>.","chicago":"Zikelic, Dorde. “Automated Verification and Control of Infinite State Stochastic Systems.” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/14539\">https://doi.org/10.15479/14539</a>.","apa":"Zikelic, D. (2023). <i>Automated verification and control of infinite state stochastic systems</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/14539\">https://doi.org/10.15479/14539</a>","ama":"Zikelic D. Automated verification and control of infinite state stochastic systems. 2023. doi:<a href=\"https://doi.org/10.15479/14539\">10.15479/14539</a>","short":"D. Zikelic, Automated Verification and Control of Infinite State Stochastic Systems, Institute of Science and Technology Austria, 2023.","ieee":"D. Zikelic, “Automated verification and control of infinite state stochastic systems,” Institute of Science and Technology Austria, 2023."},"article_processing_charge":"No","publication_identifier":{"isbn":["978-3-99078-036-7"],"issn":["2663 - 337X"]},"ddc":["000"]}