Work

Machine-learning perspectives on Volterra system identification

Year: 2025

Type: article

Source: Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences

DOI: 10.1098/rsta.2024.0053

Authors: Keith Worden, Timothy Rogers, Oliver Preston

Institution: University of Sheffield

Language: English

Topic: Control Systems and Identification

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: Engineering and Physical Sciences Research Council

OpenAlex ID: W4414518943

FWCI: 0.766

Cites: 28

Cited by: 2

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