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.
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Record
| Original publisher | Wiley Science and Engineering Content Hub |
| Canonical URL | https://content.knowledgehub.wiley.com/ai-with-model-based-design-virtual-sensor-modeling/ |
| Publication time | Mon, 25 May 2026 10:00:01 +0000 |
| Retrieval time | 2026-05-25T10:02:36.626Z |
| Last seen | 2026-05-25T10:02:36.626Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 7o5y8WEPM362 |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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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Excerpt limited to ~120 words for fair-use compliance. The full article is at Wiley Science and Engineering Content Hub.
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