Neural networks-based command filtering control for a table-mount experimental helicopter

DOI10.1016/j.jfranklin.2020.10.011zbMath1455.93130OpenAlexW3093285868MaRDI QIDQ2224748

Chuang Li, Xuebo Yang

Publication date: 4 February 2021

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://pure.rug.nl/ws/files/174852024/1_s2.0_S0016003220307055_main.pdf

zbMATH Keywords

neural networksLyapunov stabilizationcommand filtering controltable-mount experimental helicopter

Mathematics Subject Classification ID

Control/observation systems with incomplete information (93C41) Automated systems (robots, etc.) in control theory (93C85) Computational methods for problems pertaining to systems and control theory (93-08)

Related Items (4)

Adaptive smooth disturbance observer-based fast finite-time attitude tracking control of a small unmanned helicopter ⋮ Exponential extended dissipative performance for delayed discrete-time neural networks under memoryless resilient-based observer design ⋮ Adaptive neural network control for nonholonomic systems with partial/full or without state constraints ⋮ Practical finite-time command filtered backstepping control of MPCVD reactor systems with uncertainties

Uses Software

• QUARC

Cites Work

• An ISS-modular approach for adaptive neural control of pure-feedback systems
• Adaptive prescribed performance control of QUAVs with unknown time-varying payload and wind gust disturbance
• Intelligent attitude and flapping angles estimation of flybarless helicopters under near-hover conditions
• Robust regulation for a 3-DOF helicopter via sliding-mode observation and identification
• Dynamic surface control for a class of nonlinear systems
• Command Filtered Backstepping
• Composite adaptive control with fast convergence for multilayer neural network

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