A data-driven neural model predictive controller for multi-layer nonlinear vibration isolation system

Jiyuan Jiang

doi:10.1016/j.ast.2025.110583

A data-driven neural model predictive controller for multi-layer nonlinear vibration isolation system

2025-07-08

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DOI：10.1016/j.ast.2025.110583

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Abstract

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• A novel integrated identification algorithm combining data-driven and physics-informed approaches is proposed for MNVIS. • An optimal MPC strategy is realized via a neural network controller, circumventing the computational burden of conventional MPC real-time optimization. • The neural network-based model predictive controller significantly enhances the vibration isolation performance of MNVIS.

Keywords:

novel integrated identification algorithm

data-driven approach

physics-informed approach

model predictive control

neural network controller

A data-driven neural model predictive controller for multi-layer nonlinear vibration isolation system

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