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We propose and evaluate a new technique for learning hybrid automata automatically by observing the runtime behavior of a dynamical system.
Statistical inference for probabilistic functions of finite state markov chains
Leonard E Baum and Ted Petrie · 1966
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Curve fitting by segmented straight lines
Richard Bellman and Robert Roth · 1969
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Maximum likelihood from incomplete data via the em algorithm
Arthur P Dempster, Nan M Laird, and Donald B Rubin · 1977
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Estimating the dimension of a model
Gideon Schwarz et al · 1978
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Hybrid automata: An algorithmic approach to the specification and verification of hybrid systems
Rajeev Alur, Costas Courcoubetis, Thomas A Henzinger, and Pei-Hsin Ho · 1993
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The algorithmic analysis of hybrid systems
Rajeev Alur, Costas Courcoubetis, Nicolas Halbwachs, Thomas A Henzinger, P-H Ho, Xavier Nicollin, Alfredo Olivero, Joseph Sifakis, and Sergio Yovine · 1995
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What’s decidable about hybrid automata?
Thomas A Henzinger, Peter W Kopke, Anuj Puri, and Pravin Varaiya · 1995
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Discrete-time control for rectangular hybrid automata
Thomas A Henzinger and Peter W Kopke · 1999
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The infinite hidden markov model
Matthew J Beal, Zoubin Ghahramani, and Carl Edward Rasmussen · 2002
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Phaver: Algorithmic verification of hybrid systems past hytech
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Symbolic reachability analysis of lazy linear hybrid automata
Susmit Jha, Bryan A Brady, and Sanjit A Seshia · 2007
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Differential dynamic logic for hybrid systems
André Platzer · 2008
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Pedro Santana, Spencer Lane, Eric Timmons, Brian Williams, and Carlos Forster · 2015
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