Model-Based Systems Engineering for Machine Control Software
| Start Time | End Time |
|---|---|
| 16 Jun 2026, 04:00 EDT | 16 Jun 2026, 05:00 EDT |
Overview
Many machine projects build on existing designs. Changes in functionality or configuration are common, but their impact on control software and interfaces is often unclear until late in the project. As a result, inconsistencies tend to surface during integration or commissioning, when fixes are costly.
This webinar introduces a Model‑Based Systems Engineering (MBSE) approach focused on machine control software. You’ll see how system structure, interfaces, and control behavior can be captured explicitly and used as a shared technical reference during development. The emphasis is on improving early alignment between system definitions and control implementation, so integration issues—and unintended differences between configurations—can be identified sooner and discussed before detailed implementation and commissioning.
Who Should Attend
- Controls & Embedded Engineers transitioning from "clone and modify" workflows to systematic, model-based variant management.
- Systems & Mechatronics Engineers architecting machine platforms and establishing digital traceability from requirements to executable models.
- Engineering Leads focused on front-loading verification, automating variant regression testing, and enabling virtual commissioning.
Highlights
- Capture machine structure, interfaces, and control behavior explicitly as a shared technical reference
- Reason about changes earlier—including differences between configurations—before integration and commissioning
- Improve alignment between system definitions and control implementation in day‑to‑day machine development
About the Presenter
Rareș Curatu is an Industry Manager for Industrial Automation and Machinery at MathWorks, responsible for EMEA. He works with equipment manufacturers and industrial robotics teams on model‑based engineering workflows, including simulation‑based validation, virtual commissioning, and the application of data‑driven and AI‑based techniques in control, monitoring, and system‑level behavior of industrial machines and robotic systems.
Product Focus
This event is part of a series of related topics. View the full list of events in this series.
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