Emulation-based Neuromorphic Control for the Stabilization of LTI Systems
This research proposes a two-step emulation method using spiking neural networks to control Linear Time-Invariant (LTI) systems. It designs controllers inspired by integrate-and-fire neurons to approximate continuous stabilizing controllers, ensuring practical closed-loop stability for the LTI system.