Implement Discrete-Event Systems with Charts

Use a chart in SimEvents® software using the Discrete Event Chart block

Create custom discrete-event systems with the Discrete Event Chart block. For more information, see Discrete-Event Stateflow Charts.

Blocks

Discrete Event ChartDiscrete event chart

Topics

Discrete-Event Stateflow Charts

You can use Stateflow® discrete-event charts to create SimEvents systems.

Discrete-Event Chart Precise Timing

This example shows the precise timing that a Discrete-Event Chart block executes as it generates parts in a facility.

Trigger a Discrete-Event Chart Block on Message Arrival

This example shows how to trigger a Discrete-Event Chart Block on the message arrival when generating parts in a facility and performing quality assurance.

Dynamic Scheduling of Discrete-Event Chart Block

This example shows how to use the dynamic scheduling that the Discrete-Event Chart block provides.

How Discrete-Event Charts Differ from Stateflow Charts

See how discrete-event charts differ from Stateflow charts.

Event Triggering in Discrete-Event Charts

Use event, message, and temporal triggering in discrete-event charts.

Featured Examples

Flush Entities from a Queue-Server

Flush Entities from a Queue-Server

Use a Discrete-Event Chart block to model a queue-server that can flush entities when it receives a message on the "FlushCmd" port.

Open Model
802.11 MAC and Application Throughput Measurement

802.11 MAC and Application Throughput Measurement

Measure the MAC and application layer throughput in a multi-node 802.11a/n/ac/ax network using SimEvents®, Stateflow®, and WLAN Toolbox™. The system-level model presented in this example includes functionalities such as configuring the priority of the traffic at the application layer, capability to generate and decode waveforms of Non-HT, HT-MF, VHT, HE-SU and HE-EXT-SU formats, MPDU aggregation and enabling block acknowledgment of MPDUs. The application layer throughput calculated using this model is validated against published calibration results from the TGax Task Group [ 4 ] for Box 3 scenarios (Tests 1a, 1b, and 2a) specified in TGax evaluation methodology [ 3 ]. The obtained application layer throughput is within the range of minimum and maximum throughput specified in published calibration results [ 4 ].

Open Model
802.11ax System-Level Simulation with Physical Layer Abstraction

802.11ax System-Level Simulation with Physical Layer Abstraction

Demonstrates how to model a multi-node IEEE® 802.11ax™ [ 1 ] network with abstracted physical layer (PHY) using SimEvents®, Stateflow®, and WLAN Toolbox™. A PHY abstraction model largely reduces the complexity and the duration of system-level simulations by replacing the actual physical layer computations. This makes it possible to evaluate systems consisting of large number of nodes, resulting in increased scalability. Abstracted PHY models signal-power, gain, delay, loss and interference on each packet without generating physical layer packets, as specified by the TGax Evaluation Methodology [ 3 ].

Open Model
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