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Modeling sliding bead on tilting wire using Python | Lagrangian explained

Explore advanced physics with **“Modeling Sliding Bead On Tilting Wire Using Python | Lagrangian Explained.”** In this tutorial, we demonstrate how to simulate the motion of a bead sliding on a ...
IEEE

Probabilistic Adaptive Dynamic Programming for Optimal Output Regulation With Fault-Prediction and Epistemic Uncertainty Tolerance

Abstract: This work investigates the fault-prediction optimal output regulation problem for the structural reliability feedback (SRF) system, and it aims to design a reliability feedback controller ...
IEEE

Improving Post-Training Quantization via Probabilistic Programming

Abstract: Post-training quantization (PTQ) is an effective solution for deploying deep neural networks on edge devices with limited resources. PTQ is especially attractive because it does not require ...