Adaptive Sliding Mode Tracking Control for Unmanned Autonomous Helicopters Based on Neural Networks
Work
Year: 2018
Type: article
Abstract: In this paper, an adaptive sliding mode tracking control scheme is developed for the mediumāscale unmanned autonomous helicopter with system uncertainties and external unknown disturbances. A simplifi... more
Source: Complexity
Cites: 32
Cited by: 10
Related to: 10
FWCI: 0.763
Citation percentile (by year/subfield): 73.49
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Affordable and clean energy
Open Access status: gold
APC paid (est): $2,300
Funders National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, Aeronautical Science Foundation of China
Grant IDS 61533008, BK20171417, 20165752049