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.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
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.