20 Papers
2 Citations
Qiang Fu is an academic researcher from University of Science and Technology Beijing. The author has contributed to research in topics: Computer science & Control theory (sociology). The author has an hindex of 3, co-authored 3 publications.
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Papers
Neural Networks-Based Fault Tolerant Control of a Robot via Fast Terminal Sliding Mode
TL;DR: A robust fault tolerant (FT) control scheme for an $n$ -link uncertain robotic system with actuator failures is developed and a nonsingular fast terminal sliding mode is given in order to accelerate the recovery of system stability after failure.
103
A Miniature Video Stabilization System for Flapping-Wing Aerial Vehicles
Qiang Fu,Xinqi Wang,Yao Zou,Wei He +3 more
- 28 Feb 2022
TL;DR: In this paper , a miniature video stabilization system is designed to deal with the image jitter and motion blur problem for flapping-wing aerial vehicles (FWAVs), where a light and two-axis pan-tilt (about 13 degrees) is built for the FLAV to counteract most of the jitter effect.
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Adaptive Compensation for Infinite Number of Actuator Faults and Time-varying Delay of a Flexible Manipulator System
TL;DR: In this paper , a novel adaptive compensation strategy for a flexible manipulator in the presence of unmodeled system dynamics and an infinite number of time-varying actuator faults is proposed.
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Adaptive neural control of quadruped robots with input deadzone
TL;DR: The study is aiming at the compensation for input deadzone and the control of trajectory using radial basis function neural networks under both full state feedback and output feedback with closed-loop stability proved by Lyapunov's stability theorem.
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Robust output regulation of four strings based on coupled exosystem observers
Tingting Meng,Haifeng Huang,Qiang Fu +2 more
- 01 Oct 2023
TL;DR: This paper addresses robust output regulation of a four-string MIMO system with disturbances and references from an exosystem, designing observer-based controls using coupled exosystem observers to achieve asymptotic stability and robustness against unknown disturbances.
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