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» Learning Behavior Models for Hybrid Timed Systems
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TC
2010
14 years 7 months ago
Generating Reliable Code from Hybrid-Systems Models
Hybrid systems have emerged as an appropriate formalism to model embedded systems as they capture the theme of continuous dynamics with discrete control. Under this paradigm, distr...
Madhukar Anand, Sebastian Fischmeister, Yerang Hur...
IJCAI
2001
15 years 1 months ago
Distributed Monitoring of Hybrid Systems: A model-directed approach
This paper presents an efficient online mode estimation algorithm for a class of sensor-rich, distributed embedded systems, the so-called hybrid systems. A central problem in dist...
Feng Zhao, Xenofon D. Koutsoukos, Horst W. Haussec...
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CONTEXT
2001
Springer
15 years 4 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
HYBRID
2000
Springer
15 years 3 months ago
Behavior Based Robotics Using Hybrid Automata
In this article, we show how a behavior based control system for autonomous robots can be modeled as a hybrid automaton, where each node corresponds to a distinct robot behavior. T...
Magnus Egerstedt
ENTCS
2007
156views more  ENTCS 2007»
15 years 9 days ago
Bounded Model Checking with Parametric Data Structures
Bounded Model Checking (BMC) is a successful refutation method to detect errors in not only circuits and other binary systems but also in systems with more complex domains like ti...
Erika Ábrahám, Marc Herbstritt, Bern...