AI with Model-Based Design: Virtual Sensor Modeling

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This webinar presents a workflow offering end-to-end solutions for designing, training, validating and verifying, compressing, and deploying AI-based virtual sensor models to embedded processors within a single environment.

Highlights

• Integrate AI models into Simulink for system-level simulation, verification, and simulation-based testing
• Apply formal verification techniques to assert neural network behavior
• Compress the AI model for memory footprint reduction and execution speedup
• Generate library-free C code from AI models and performing PIL tests
• Profile code performance and evaluate design and model selection tradeoffs
• Design and train AI-based virtual sensors using MATLAB