Adaptive dynamic surface and sliding mode tracking control for uncertain QUAV with time-varying load and appointed-time prescribed performance

DOI10.1016/J.JFRANKLIN.2021.03.018zbMath1465.93112OpenAlexW3155755296MaRDI QIDQ2030910

Xiaojing Wu, Shikai Shao, Xinxiu Zhou, Wenyan Zheng

Publication date: 8 June 2021

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

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2021.03.018

zbMATH Keywords

sliding mode controlfinite-time tracking controladaptive dynamic surface controlquadrotor unmanned aerial vehicleappointed-time prescribed performance control

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85) Variable structure systems (93B12)

Related Items (2)

Adaptive neural network dynamic surface control of uncertain strict-feedback nonlinear systems with unknown control direction and unknown actuator fault ⋮ On novel trajectory tracking control of quadrotor UAV: a finite-time guaranteed performance approach

Cites Work

• Adaptive prescribed performance control of QUAVs with unknown time-varying payload and wind gust disturbance
• Fixed-time synchronization of complex networks with time-varying delays
• Finite-time formation tracking control with collision avoidance for quadrotor UAVs
• Fast finite-time adaptive neural control of multi-agent systems
• Adaptive trajectory tracking controller for quadrotor systems subject to parametric uncertainties
• Leader-follower finite-time formation control of multiple quadrotors with prescribed performance

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