Comparison of Deep Learning and Deterministic Algorithms for Control Modeling

Controlling nonlinear dynamics arises in various engineering fields. We present efforts to model the forced van der Pol system control using physics-informed neural networks (PINN) compared to benchmark methods, including idealized nonlinear feedforward (FF) control, linearized feedback control (FB)...

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Bibliographic Details
Main Authors: Hanfeng Zhai, Timothy Sands
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/17/6362