arXiv (All)
open access
An Empirical Study of Architectural Shift from Traditional to AI-Enabled Simulink Controllers
Effective AI adoption in cyber-physical systems (CPS) depends on embedding design knowledge into engineering practice. Yet as AI-enabled components increasingly replace analytically derived control laws, this occurs without a systematic understanding of how controller architectures differ or remain
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- An Empirical Study of Architectural Shift from Traditional to AI-Enabled Simulink Controllers#1169647
- How forced intervention facilitates AI adoption#410169
- Frontier AI performance across the business disciplines: a case-grounded benchmark of knowledge work and analytical reasoning#381773
- Critical Reflection and Governance of AI-Mediated Knowledge Work / Sascha Donner ; Gutachter: Vivien Petras, Jesse Dinneen#664793
- Model-Free Reinforcement Learning Control for Resilient Cyber-Physical Systems#287154
Record · ID 1143105
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive