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Talk25 min

An overview on Virtualized PLCs and Agentic AI for Industrial Control Systems

Filippo Berto · CERN

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About

As preparations for the Future Circular Collider (FCC) advance, new technical and organizational challenges emerge. The FCC's highly distributed geographic nature and complex control systems pose significant obstacles to efficient development and operation. The unprecedented scale of the project, with its vast number of components and interdependent tasks, demands innovative approaches to remain effective.

Introducing new technologies and methodologies is essential to contain construction and operating costs while ensuring reliability. Virtualized PLCs provide an effective solution for managing remote physical components in an easily automated and configurable environment. Concurrently, AI agents can accelerate complex workflows, integrate cross-domain knowledge more effectively, and free experts from repetitive, low-complexity tasks.

This presentation covers two concrete developments in these areas. First, we discuss a test bed deployment of virtualized PLCs within an edge-cloud continuum architecture, demonstrating how this approach enables flexible resource allocation and improved system resilience for distributed control systems. Second, we present the development of custom tools for AI agents specifically designed for industrial control code generation, showing how these specialized capabilities can enhance productivity.

These advancements represent practical steps toward addressing the unique challenges of next-generation particle accelerator projects.

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The talk

  1. An overview on Virtualized PLCs and Agentic AI for Industrial Control Systems 2026-03-05 · 25 min · CERN's player

Credits and licence

Institution
CERN
Speaker
Filippo Berto
Year
2026
Language
English
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
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