Abstract: Neural network adaptive iterative learning control (ILC) is developed in this article to treat strict-feedback nonlinear systems with unknown state delays and input saturation. These delays ...
Abstract: The iterative hard thresholding (IHT) algorithm is widely used for recovering sparse signals in compressed sensing. Despite the development of numerous variants of this effective algorithm, ...
This repository contains the source code for the Reinforcement Collaborative Training (RCT) framework, which iteratively co-trains a Large Language Model (LLM) and a Random Forest (RF) classifier for ...
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