Adaptive Recursive Terminal Sliding Mode Control for MEMS Gyros Using Improved Neural Network With Constrained Input Mapping

Adaptive Recursive Terminal Sliding Mode Control for MEMS Gyros Using Improved Neural Network With Constrained Input Mapping

To drive the gyroscope into a command vibration mode, and to simultaneously estimate the angular velocity, this paper proposes an improved fully adjusted neural network-based adaptive recursive terminal sliding mode control for Z-axis MEMS gyroscopes. Firstly, a recursive terminal sliding mode contr...

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Bibliographic Details
Main Authors: Luo Laiwu, Zhang Xinsong, Li Zimeng, Zhang Shengcheng, Guo Yunxiang, Ren Lei, Lu Cheng
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Adaptive control
constrained input mapping
neural network
sliding mode control
Online Access:https://ieeexplore.ieee.org/document/10771776/
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