A data-driven framework builds ISS Lyapunov functions and controllers from single noisy trajectories per subsystem, then composes them via small-gain theory to guarantee uniform global asymptotic stability of infinite unknown networks.
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Data-Driven Global Stabilization of Unknown Infinite Networks
A data-driven framework builds ISS Lyapunov functions and controllers from single noisy trajectories per subsystem, then composes them via small-gain theory to guarantee uniform global asymptotic stability of infinite unknown networks.