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Model-based design of embedded systems using Synchronous Reactive (SR) models is among the best practices for software development in the automotive and aeronautics industry. The correct implementation of an SR model must guarantee the synchronous assumption, that is, all the system reactions complete before the next event. This assumption can be verified using schedulability analysis, but the analysis...
A new generation of distributed real-time systems (DRTS) is based on heterogeneous models of computation and communication and is associated with flexible real-time constraints. Classical design flows based on realtime scheduling theory display important limitations related to the restrictive assumption on the system model. On the other hand, formal verification of timed automata is far more general,...
We present a novel technique for synthesizing controllers for distributed real-time environments with safety requirements. Our approach is an abstraction refinement extension to the on-the-fly algorithm by Cassez et al. from 2005. Based on partial compositions of some environment components, each refinement cycle constructs a sound abstraction that can be used to obtain under- and over-approximations...
Monitoring and control of systems using a wireless sensor network (WSN) play a significant role in rapid automated response to events. Automation drives the necessity to check the system correctness due to the critical nature of the operations (i.e. military, air traffic management). The motes in a WSN are event-driven systems. The evolution of the system can be captured by discrete and continuous...
Three applications in wireless networks where model-free stochastic learning is applicable, are discussed. The learning based optimization problems are formulated and simulation results are presented. Some open issues are also discussed.
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