Edge Sensing and Control Co-Design for Industrial Cyber-Physical Systems: Observability Guaranteed Method

Area of Science:

• Industrial Cyber-Physical Systems (ICPS)
• Edge Computing
• Control Theory
• Graph Signal Processing (GSP)

Background:

• Industrial cyber-physical systems (ICPS) integrate sensing and control, with system observability being crucial.
• Existing methods often assume observability, which is challenging with expanding network scales.
• This assumption hinders effective sensing design in modern ICPS.

Purpose of the Study:

• To propose an Observability Guaranteed Method (OGM) for co-designing edge sensing and control in ICPS.
• To address the challenge of satisfying observability assumptions in large-scale ICPS.
• To improve the integration of sensing and control by ensuring system observability.

Main Methods:

• Transformed non-convex observability conditions into convex parameter ranges using Graph Signal Processing (GSP).
• Established relationships between sensing parameters and control performance.
• Developed a co-design approach that reversely adjusts sensing for control demands to ensure observability.

Main Results:

• The proposed OGM effectively guarantees system observability for edge sensing and control co-design.
• The method successfully links sensing strategy parameters to control performance.
• Demonstrated effectiveness in a hot rolling laminar cooling process via semi-physical evaluation.

Conclusions:

• OGM provides a robust solution for observability challenges in ICPS edge sensing and control.
• The GSP-based approach facilitates a more reliable and integrated system design.
• The validated effectiveness in a practical industrial process highlights OGM's significance.