Adaptive neuro-predictive control for redundant robot manipulators in presence of static and dynamic obstacles: A Lyapunov-based approach

DOI10.1002/ACS.2459zbMath1331.93153OpenAlexW1872679111MaRDI QIDQ2795802

Ashkan M. Jasour, Mohammad Farrokhi

Publication date: 22 March 2016

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.2459

zbMATH Keywords

adaptive neuro-controlnonlinear model predictive controlLyapunov's direct methodobstacle avoidanceredundant robot manipulator

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Automated systems (robots, etc.) in control theory (93C85) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (1)

Some recent advances in learning and adaptation for uncertain feedback control systems

Cites Work

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• Planning Algorithms

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