Formalizing Neuromorphic Control Systems A General Proposal and A Rhythmic Case Study

Neuromorphic control is receiving growing attention due to the advantages it brings over more classical control approaches, including: sparse and on-demand sensing, information transmission, and actuation; energy-efficient designs and realizations in neuromorphic hardware; event-based signal processing and control signal computation. In this note, we suggest a possible path toward formalizing neuromorphic control systems. We apply the proposed framework to a rhythmic control case study and apply mature control theoretical approaches like describing function analysis, fast-slow analysis, discrete and hybrid systems, and robust optimization.