The Interplay between Silicon Capability and System Architecture for Cognitive Power Systems

Evolving sensing and AI-compute capabilities realized in modern silicon products enable novel architectural choices in embedded controllers and the power systems they govern. This contribution explores the impact of high precision analog measurement when paired with embedded AI and emerging new network technologies. We consider both the individual elements realizing these capabilities and the overall architectures enabled by them. To show the resulting impact on overall system design, we illustrate the concepts with the example of an industrial robot.