Adaptive Neural Network Robust Control of FOG with Output Constraints

Adaptive Neural Network Robust Control of FOG with Output Constraints

In this work, an adaptive robust control method based on Radial Basis Function Neural Network (RBFNN) is proposed. Inspired by the local response characteristics of biological neurons, this method can reduce the influence of nonlinear errors and unknown perturbations in the extreme working condition...

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Bibliographic Details
Main Authors: Shangbo Liu, Baowang Lian, Jiajun Ma, Xiaokun Ding, Haiyan Li
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Biomimetics
Subjects:
fiber optic gyroscope
neural network
adaptive control
output constraints
Online Access:https://www.mdpi.com/2313-7673/10/6/372
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