Constrained neural adaptive PID control for robot manipulators

DOI10.1016/J.JFRANKLIN.2019.12.042zbMath1437.93057OpenAlexW2998747891WikidataQ126396737 ScholiaQ126396737MaRDI QIDQ2181319

Hamed Rahimi Nohooji

Publication date: 19 May 2020

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

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2019.12.042

zbMATH Keywords

PID controllerbarrier Lyapunov functionadaptive neural-based controlnonlinear robotic systems

Mathematics Subject Classification ID

Lyapunov and storage functions (93D30) Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85)

Related Items (5)

Lyapunov stability analysis of a robust model reference adaptive PI controller for systems with matched and unmatched dynamics ⋮ An optimal PID tuning method for a two-link manipulator via an exact penalty function method ⋮ Adaptive coordinated control for space manipulators with input saturation ⋮ Robust nonsingular fixed time terminal sliding mode control for atmospheric pollution detection lidar scanning mechanism ⋮ A novel controller for nonlinear uncertain systems using a combination of SDRE and function approximation technique: regulation and tracking of flexible-joint manipulators

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