{"paper":{"title":"Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Brooks Moses, Daphne Koller, Maricia Scott, Sheila McIlraith, Uri Lerner","submitted_at":"2012-12-12T15:57:11Z","abstract_excerpt":"The Reverse Water Gas Shift system (RWGS) is a complex physical system designed to produce oxygen from the carbon dioxide atmosphere on Mars.  If sent to Mars, it would operate without human supervision, thus requiring a reliable automated system for monitoring and control.  The RWGS presents many challenges typical of real-world systems, including:  noisy and biased sensors, nonlinear behavior, effects that are manifested over different time granularities, and unobservability of many important quantities.  In this paper we model the RWGS using a hybrid (discrete/continuous) Dynamic Bayesian N"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1301.0582","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}