Model-based development workflow in Simulink - Step-by-Step Execution

Concept Flow - Model-based development workflow

Define System Requirements

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Create Model in Simulink

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Simulate Model Behavior

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Analyze Simulation Results

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Refine Model Based on Results

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Generate Code Automatically

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Deploy Code to Hardware

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Test on Target System

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Verify and Validate System

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Complete

This flow shows the step-by-step process of building, testing, and deploying a system using model-based development in Simulink.

Execution Sample

Simulink

1. Define requirements
2. Build Simulink model
3. Run simulation
4. Analyze output
5. Generate code
6. Deploy and test

This sequence represents the main steps in the model-based development workflow.

Execution Table

Step	Action	Input	Output	Notes
1	Define System Requirements	Project goals	Requirements document	Clear goals guide modeling
2	Create Model in Simulink	Requirements document	Simulink model	Model represents system behavior
3	Simulate Model Behavior	Simulink model	Simulation results	Check if model works as expected
4	Analyze Simulation Results	Simulation results	Insights on model performance	Identify issues or improvements
5	Refine Model Based on Results	Insights on model performance	Updated Simulink model	Improve accuracy or fix errors
6	Generate Code Automatically	Updated Simulink model	C/C++ code	Code ready for deployment
7	Deploy Code to Hardware	Generated code	Running system on hardware	Test real-world performance
8	Test on Target System	Running system on hardware	Test results	Verify system meets requirements
9	Verify and Validate System	Test results	Validated system	Confirm system is ready for use
10	Complete	Validated system	Project finished	Workflow ends successfully

💡 Step 10 reached, system verified and workflow completed

Variable Tracker

Variable	Start	After Step 2	After Step 5	After Step 6	After Step 9	Final
Requirements	None	Defined	Defined	Defined	Defined	Defined
Model	None	Created	Refined	Refined	Refined	Refined
Simulation Results	None	None	Generated	Generated	Generated	Generated
Generated Code	None	None	None	Created	Created	Created
Test Results	None	None	None	None	Collected	Collected
System Status	Not started	Modeling	Refining	Code Generated	Tested	Validated

Key Moments - 3 Insights

Why do we simulate the model before generating code?

Simulation helps check if the model behaves correctly before spending time generating and deploying code, as shown in steps 3 and 6 in the execution_table.

What happens if simulation results show problems?

You refine the model based on simulation insights (step 5), improving accuracy before code generation, preventing errors in the deployed system.

Why is verification important after deployment?

Verification (step 9) ensures the deployed system meets requirements and works in the real environment, confirming the workflow's success.

Visual Quiz - 3 Questions

Look at the execution_table, what is the output after step 3?

A Simulation results

B Generated code

C Validated system

D Requirements document

💡 Hint

Check the 'Output' column for step 3 in the execution_table.

At which step does the model get refined based on simulation?

A Step 2

B Step 5

C Step 7

D Step 9

💡 Hint

Look for the step labeled 'Refine Model Based on Results' in the execution_table.

If the simulation shows errors, what should happen next?

A Generate code immediately

B Deploy code to hardware

C Refine the model

D Complete the project

💡 Hint

Refer to the key_moments section and steps 3 to 5 in the execution_table.

Concept Snapshot

Model-based development workflow:
1. Define system requirements
2. Build model in Simulink
3. Simulate model
4. Analyze and refine model
5. Generate code automatically
6. Deploy and test on hardware
7. Verify and validate system
This process ensures reliable system design and deployment.

Full Transcript

The model-based development workflow starts by defining clear system requirements. Then, a model is created in Simulink to represent the system. This model is simulated to check behavior. Simulation results are analyzed to find improvements. The model is refined accordingly. Once the model is ready, code is generated automatically from it. This code is deployed to hardware and tested in the real environment. Finally, the system is verified and validated to ensure it meets all requirements. This step-by-step process helps build reliable systems efficiently.