Robust adaptive dead zone technology for fault-tolerant control of robot manipulators using neural networks

DOI10.1023/A:1014603028024zbMath1047.93546OpenAlexW1540218882MaRDI QIDQ1610630

R. Smith

Publication date: 20 August 2002

Published in: Journal of Intelligent \& Robotic Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1014603028024

zbMATH Keywords

neural networksadaptive dead zonerobotic fault-tolerant control

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Automated systems (robots, etc.) in control theory (93C85) Artificial intelligence for robotics (68T40)

Related Items (3)

A robust training algorithm of discrete-time MIMO RNN and application in fault tolerant control of robotic system ⋮ Overlapping-multi-layer deadzone for alleviating over conservativeness in robot adaptive tracking ⋮ Fault diagnosis and fault-tolerant control of uncertain robot manipulators using high-order sliding mode

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