A stochastic Langevin-style update law with a decaying "temperature" noise term is introduced for Lyapunov-based DNN adaptive control, with a probabilistic boundedness theorem and ~20% simulated gains.
Distributed nonlinear control algorithms for network consensus,
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LyLA-Therm: Lyapunov-based Langevin Adaptive Thermodynamic Neural Network Controller
A stochastic Langevin-style update law with a decaying "temperature" noise term is introduced for Lyapunov-based DNN adaptive control, with a probabilistic boundedness theorem and ~20% simulated gains.