Neural Network-Based Adaptive Height Tracking Control of Active Air Suspension System with Magnetorheological Fluid Damper Subject to Uncertain Mass and Input Delay

In this paper, we present a novel robust adaptive neural network-based control framework to address the ride height tracking control problem of active air suspension systems with magnetorheological fluid damper (MRD-AAS) subject to uncertain mass and time-varying input delay. First, a radial basis f...

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Bibliographic Details
Main Authors: Rongchen Zhao, Haifeng Xie, Xinle Gong, Xiaoqiang Sun, Chen Cao
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/24/1/156

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