By Filipe de Carvalho Moutinho, Luís Filipe Santos Gomes
This booklet describes a model-based improvement procedure for globally-asynchronous locally-synchronous allotted embedded controllers. This strategy makes use of Petri nets as modeling formalism to create platform and community self sustaining types aiding using layout automation instruments. To aid this improvement technique, the Petri nets classification in use is prolonged with time-domains and asynchronous-channels. The authors’ method makes use of versions not just supplying a greater figuring out of the disbursed controller and enhancing the verbal exchange one of the stakeholders, but in addition to be able to help the complete lifecycle, together with the simulation, the verification (using model-checking tools), the implementation (relying on computerized code generators), and the deployment of the dispensed controller into particular platforms.
- Uses a graphical and intuitive modeling formalism supported via layout automation tools;
- Enables verification, making sure that the dispensed controller was once appropriately specified;
- Provides flexibility within the implementation and upkeep stages to accomplish wanted constraints (high functionality, low strength intake, diminished costs), permitting porting to various systems utilizing assorted verbal exchange nodes, with out altering the underlying behavioral model.
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Extra info for Distributed Embedded Controller Development with Petri Nets: Application to Globally-Asynchronous Locally-Synchronous Systems
10 The state-space (reachability graph) of the models from Figs. 6 • when “AC2” message arrives to the target sub-model (in the behaviorally equivalent model, this is specified by the occurrence of event “IEAC2”), the transition “T2” fires (if enabled); • when transition “T3” fires, one message is sent through the asynchronouschannel “AC3”; 36 3 Development of Distributed Embedded Controllers • when the “AC3” message arrives to the target component (in the behaviorally equivalent model, the event “IEAC3” occurs), one message is sent through the asynchronous-channel “AC4” (in the behaviorally equivalent model one token is inserted in place “PAC4”) because transition “T8” is disabled; • however, if transition “T8” was enabled, then a message would be sent through the asynchronous-channel “AC5” instead of “AC4”.
This provides high flexibility in the implementation phase, enabling the creation of several heterogeneous prototypes (using a single global model), test them, and select the most suited one (for instance, the one that provides the desired performance with lower power consumption). Each asynchronous-channel is listening one transition of one sub-model (with a specific time-domain) and based on that sends messages to a set of transitions of another sub-model (with another time-domain). The SimpleAC, which is an improved version of the channel introduced in Moutinho and Gomes (2012a), sends a message to the target sub-model whenever the listened transition (the source transition) fires.
Each zone has three presence detectors (“A”, “B”, and “C”) spaced close together, as illustrated in Fig. 2. Each detector provides a Boolean signal, where the value is one when detecting a vehicle and is zero otherwise. When a vehicle passes in the right direction the following sequence will be generated: 1. 2. 3. 4. 2 The Detection Zone 45 Fig. 2 The detection zone 5. A D 0 and B D 1 and C D 1 6. A D 0 and B D 0 and C D 1 7. A D 0 and B D 0 and C D 0 When a vehicle passes in the wrong direction the generated sequence is the reverse.