Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space

Neural Information Processing Systems 

This work proposes a novel Coupled Oscillator Network (CON) model that simultaneously tackles all these issues. More specifically, (i) we show analytically that CON is a Lagrangian system - i.e., it possesses well-defined potential and kinetic energy terms.

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