AI with Model-Based Design: Virtual Sensor Modeling
The webinar focuses on the use of AI-based virtual sensors for estimating hard-to-measure signals, such as battery state of charge. It demonstrates the integration of AI models into system-level design and their validation against various constraints. Participants will learn about optimizing models for deployment and evaluating design tradeoffs.
- ▪The session covers the integration of AI models into Simulink for simulation and verification.
- ▪It includes formal verification to assess neural network behavior.
- ▪The workflow demonstrates how to design and deploy AI-based virtual sensors to embedded processors.
Opening excerpt (first ~120 words) tap to expand
On-Demand Digital Event AI with Model-Based Design: Virtual Sensor Modeling Access First register your details to create a user profile for the hub, then login to access all content within the hub. Watch NowAlready registered? Click here to log in to the hub. This webinar explores how AI‑based virtual sensors can be used to estimate signals that are difficult or costly to measure, such as battery state of charge (SOC) in Battery Management Systems. Using a practical example, the session demonstrates how AI models can be integrated into system‑level design and validated against performance, resource, and deployment constraints. The workflow shows how to design, verify, compress, and deploy AI‑based virtual sensors to embedded processors within a single environment.
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