Improved nonlinear trajectory tracking using RBFNN for a robotic helicopter

DOI10.1002/rnc.1483zbMath1200.93106OpenAlexW2099971810MaRDI QIDQ3162939

Chi-Tai Lee, Ching-Chih Tsai

Publication date: 22 October 2010

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.1483

zbMATH Keywords

backsteppinghelicopterradial basis function neural network (RBFNN)Lyapunov control design

Mathematics Subject Classification ID

Design techniques (robust design, computer-aided design, etc.) (93B51) Automated systems (robots, etc.) in control theory (93C85) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (2)

Robust Tracking Control of Helicopters Using Backstepping with Disturbance Observers ⋮ Intelligent Adaptive Trajectory Tracking Control for an Autonomous Small-Scale Helicopter Using Fuzzy Basis Function Networks

Cites Work

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• Robust trajectory tracking for a scale model autonomous helicopter
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• Adaptive backstepping control for a class of nonlinear systems using neural network approximations
• On‐line learning neural networks for sensor validation for the flight control system of a B777 research scale model
• Adaptive nonlinear control system design for helicopter robust command augmentation
• Output‐feedback control of a class of stochastic nonlinear systems with linearly bounded unmeasurable states
• Robust adaptive output‐feedback control for nonlinear systems with output unmodeled dynamics

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