System Identification - Edgentiq

Selecting Structural Models with Deep Learning: A Convolutional Neural Network Approach

Optimizing Pasteurization: How Deep Koopman Models Cut Costs and Boost Efficiency

Unlocking Nonlinear System Dynamics: A Deep Learning Approach to Input Delay Identification

Enhanced System Monitoring: Using Kullback–Leibler Divergence for Reliable Identification

Real-Time System Monitoring: A New Kalman Filter for Estimating Hidden Forces and Properties

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Data-Driven Stable Modeling of Nonlinear Systems with Neural Networks

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Power Grid Situational Awareness: Combining Real-time and Historical Data for Cyber Resilience

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RAPTOR: An Adaptive Control Policy for Diverse Quadrotor Types

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Enhancing Neural PDE Models with Efficient Data Augmentation and Stencil Emulation

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Advancing Time-Series Analysis: New Methods for Optimal Filtering and Smoothing with Preferential Subspace Identification

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Selecting Structural Models with Deep Learning: A Convolutional Neural Network Approach

November 7, 2025

Optimizing Pasteurization: How Deep Koopman Models Cut Costs and Boost Efficiency

November 7, 2025

Unlocking Nonlinear System Dynamics: A Deep Learning Approach to Input Delay Identification

November 7, 2025