An adaptive neural network approach to the tracking control of micro aerial vehicles in constrained space

DOI10.1080/00207721.2016.1157223zbMath1358.93129DBLPjournals/ijsysc/ZhangHW17OpenAlexW2341329313WikidataQ58487196 ScholiaQ58487196MaRDI QIDQ2974246

Jing Wang, Chao Zhang, Huosheng Hu

Publication date: 6 April 2017

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2016.1157223

zbMATH Keywords

adaptive neural networkcascade controlmicro aerial vehiclesoutput constrained systems

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85)

Related Items (4)

Adaptive formation control architectures for a team of quadrotors with multiple performance and safety constraints ⋮ Robust trajectory tracking control for a quadrotor subject to disturbances and model uncertainties ⋮ Disturbance observer-based control of UAVs with prescribed performance ⋮ Robust constrained trajectory tracking control for a PVTOL aircraft subject to external disturbances

Cites Work

• Barrier Lyapunov functions for the control of output-constrained nonlinear systems
• Finite-time observer-based output-feedback control for the global stabilisation of the PVTOL aircraft with bounded inputs

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