Lyapunov-Derived Control and Adaptive Update Laws for Inner and Outer Layer Weights of a Deep Neural Network
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DOI: 10.1109/lcsys.2021.3134914
Abstract: Lyapunov-based real-time update laws are well-known for neural network (NN)-based adaptive controllers that control nonlinear dynamical systems using single-hidden-layer NNs. However, developing real-time weight update laws for deep NNs (DNNs) remains an open question. This… read more here.
Keywords: neural network; control; update laws; layer ... See more keywords