Quad‐Rotor Modeling and Attitude Control Using <scp>S</scp>tate‐<scp>D</scp>ependent <scp>ARX</scp> Type Model

DOI10.1002/asjc.830zbMath1305.93185OpenAlexW2097531754MaRDI QIDQ5172923

Hui Peng, Xiaoyong Zeng, Jimin Wei, Jun Wu

Publication date: 6 February 2015

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.830

zbMATH Keywords

nonlinear systempredictive controlquad-rotorradial basis function (RBF) networksstate-dependent autoregressive with exogenous (SD-ARX) model

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Multivariable systems, multidimensional control systems (93C35) Stochastic systems in control theory (general) (93E03)

Related Items (4)

Nonlinear and Adaptive Intelligent Control Techniques for Quadrotor UAV – A Survey ⋮ A modelling and predictive control approach to linear two-stage inverted pendulum based on RBF-ARX model ⋮ Modeling and Control Approach to Coupled Tanks Liquid Level System Based on Function‐Type Weight RBF‐ARX Model ⋮ Adaptive sliding mode control with information concentration estimator for a robot arm

Cites Work

• Battery power loss compensated fractional order sliding mode control of a quadrotor UAV

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