IEEE

Parametric Modeling of Microwave Filters by Combining Equivalent Circuit-Fitting-Based Transfer Functions and Neural Networks

Abstract: This study proposes an equivalent circuit-fitting-based neural transfer function modeling method (ECFB neuro-TF) to enhance the robustness, interpretability, and capability of handling ...
Simon Fraser University

ARIMA (Box-Jenkins) and ARIMAX (Box-Tiao) Modeling and Forecasting

The ARIMA procedure provides the identification, parameter estimation, and forecasting of autoregressive integrated moving average (Box-Jenkins) models, seasonal ARIMA models, transfer function models ...
Design News

Modeling: Block Diagrams and Transfer Functions

Modeling is the single most important activity in mechatronic system design and this article focuses on some techniques and tools engineers can use to create mathematical models from the various ...
Electronic Design

Applying the Laplace Transform in LTspice to Model Transfer Functions

What is a transfer function? How to implement a Laplace transform in LTspice. Analyzing transfer functions in the frequency and time domains. Looking at compensator design in LTspice. Transfer ...
Harvard Business School

Optimal Process Control of Symbolic Transfer Functions

Griffin, Christopher, and Elisabeth Paulson. "Optimal Process Control of Symbolic Transfer Functions." In Proceedings of the 10th International Workshop on Feedback Computing. IEEE, 2015.
IEEE

A lightweight transfer modeling method for PV power forecasting in large-scale transformer areas based on spatiotemporal feature decoupling

Abstract: The high-precision forecasting of photovoltaic (PV) power in distribution transformer areas (DTAs) is essential for accurately tracking the power distribution characteristics within ...