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» An error bound for model reduction of Lur'e-type systems
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NIPS
1998
13 years 9 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
SEFM
2007
IEEE
14 years 2 months ago
Hardness for Explicit State Software Model Checking Benchmarks
Directed model checking algorithms focus computation resources in the error-prone areas of concurrent systems. The algorithms depend on some empirical analysis to report their per...
Neha Rungta, Eric G. Mercer
CONCUR
1997
Springer
14 years 18 days ago
Reachability Analysis of Pushdown Automata: Application to Model-Checking
We apply the symbolic analysis principle to pushdown systems. We represent (possibly in nite) sets of con gurations of such systems by means of nite-state automata. In order to re...
Ahmed Bouajjani, Javier Esparza, Oded Maler
CONCUR
2000
Springer
14 years 24 days ago
Typed Mobile Objects
We describe a general model for embedding object-oriented constructs into calculi of mobile agents. The model results from extending agents with methods and primitives for message ...
Michele Bugliesi, Giuseppe Castagna, Silvia Crafa
TNN
2008
171views more  TNN 2008»
13 years 8 months ago
Adaptive Dynamic Inversion via Time-Scale Separation
Abstract--This paper presents a full state feedback adaptive dynamic inversion method for uncertain systems that depend nonlinearly upon the control input. Using a specialized set ...
Naira Hovakimyan, E. Lavretsky, Chengyu Cao