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Stable Synchronous Propagation of Signals by Feedforward Networks

Ian Stewart, David Wood

Year
2024
Citations
2

Abstract

We analyze the dynamics of networks in which a central pattern generator (CPG) transmits signals along one or more feedforward chains in a synchronous or phase-synchronous manner. Such propagating signals are common in biology, especially in locomotion and peristalsis, and are of interest for continuum robots. We construct such networks as feedforward lifts of the CPG. If the CPG dynamics is periodic, so is the lifted dynamics. Synchrony with the CPG manifests as a standing wave, and a regular phase pattern creates a traveling wave. We discuss Liapunov, asymptotic, and Floquet stability of the lifted periodic orbit and introduce transverse versions of these conditions that imply stability for signals propagating along arbitrarily long chains. We compare these notions to a simpler condition, transverse stability of the synchrony subspace, which is equivalent to Floquet stability when nodes are 1 dimensional.
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Keywords

Floquet theoryFeed forwardCentral pattern generatorStability (learning theory)Control theory (sociology)Transverse planeSubspace topologyPhysicsManifold (fluid mechanics)Mathematics

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