Adaptive Neural-Sliding Mode Control of Active Suspension System for Camera Stabilization
The camera always suffers from image instability on the moving vehicle due to the unintentional vibrations caused by road roughness. This paper presents a novel adaptive neural network based on sliding mode control strategy to stabilize the image captured area of the camera. The purpose is to suppre...
Main Authors: | Feng Zhao, Mingming Dong, Yechen Qin, Liang Gu, Jifu Guan |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2015-01-01
|
Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2015/542364 |
Similar Items
-
Adaptive neural networks control for camera stabilization with active suspension system
by: Feng Zhao, et al.
Published: (2015-08-01) -
Adaptive Hybrid Control of Vehicle Semiactive Suspension Based on Road Profile Estimation
by: Yechen Qin, et al.
Published: (2015-01-01) -
Sliding mode force tracking control for active hydro-pneumatic suspension
by: Jifu Guan, et al.
Published: (2016-02-01) -
Adaptive neural network control for semi-active vehicle suspensions
by: Zhushun Ding, et al.
Published: (2017-06-01) -
Adaptive neural network sliding mode control for active suspension systems with electrohydraulic actuator dynamics
by: Jinwei Sun, et al.
Published: (2020-07-01)