Adaptive support vector regression for UAV flight control

DOI10.1016/j.neunet.2010.09.011zbMath1217.68187OpenAlexW2061000128WikidataQ51644729 ScholiaQ51644729MaRDI QIDQ553250

Jianyong Qiao, Sumit K. Garg

Publication date: 26 July 2011

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2010.09.011

zbMATH Keywords

feedback linearizationsupport vector regressionunmanned aerial vehicle

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Adaptive control/observation systems (93C40)

Related Items (2)

Data‐Driven Adaptive Critic Approach for Nonlinear Optimal Control via Least Squares Support Vector Machine ⋮ Design of attitude control system for UAV based on feedback linearization and adaptive control

Uses Software

• LIBSVM

Cites Work

• Practical selection of SVM parameters and noise estimation for SVM regression
• A robust adaptive nonlinear control design
• Nonlinear Flight Control Using Neural Networks
• Support vector machines-based generalized predictive control
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