Modeling and analysis of adaptive embedded systems using adaptive task automata
Abstract
References
Index Terms
- Modeling and analysis of adaptive embedded systems using adaptive task automata
Recommendations
Adaptive task automata: a framework for verifying adaptive embedded systems
FASE'12: Proceedings of the 15th international conference on Fundamental Approaches to Software EngineeringWe present a framework for modeling and analysis of adaptive embedded systems, based on the model of timed automata with tasks. The model is extended with primitives allowing modeling of adaptivity, by testing the potential schedulability of a given ...
Model-based verification of adaptive embedded systems under environment constraints
Special Issue on the 2nd International Workshop on Adaptive and Reconfigurable Embedded Systems (APRES'09)Model-based verification of adaptive embedded systems is a promising approach to deal with the increased complexity that adaptation imposes on system design. Properties of embedded systems typically depend on the environment in which they are deployed. ...
GSFAP adaptive filtering using log arithmetic for resource-constrained embedded systems
FPGA '06: Proceedings of the 2006 ACM/SIGDA 14th international symposium on Field programmable gate arraysAdaptive filters are widely used in digital signal processing for such applications as system identification, noise cancellation, and in areas such as digital communication systems. Traditionally, small resource-constrained embedded systems have used ...
Comments
Information & Contributors
Information
Published In

Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Funding Sources
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 51Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in