IEEE

Transient Modeling of Nonlinear Components using Global Gated Deep Recurrent Neural Network Masked With Dropout

Abstract: This article introduces a novel approach for nonlinear electronic circuit modeling called Global Gated Deep Recurrent Neural Network (GGDRNN). GGDRNNs leverage the stacking of multiple ...
IEEE

Explainable and Safety Aware Deep Reinforcement Learning-Based Control of Nonlinear Discrete-Time Systems Using Neural Network Gradient Decomposition

Abstract: This paper presents an explainable deep-reinforcement learning (DRL)-based safety-aware optimal adaptive tracking (SOAT) scheme for a class of nonlinear discrete-time (DT) affine systems ...