A recurrent neural network-based adaptive variable structure model-following control of robotic manipulators

DOI10.1016/0005-1098(95)00057-4zbMath1034.93545OpenAlexW2104343326MaRDI QIDQ1902591

Ahmet Karakaşoǧlu, Malur K. Sundareshan

Publication date: 1995

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(95)00057-4

Mathematics Subject Classification ID

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

Related Items (2)

Neural network-assisted variable structure control scheme for control of a flexible manipulator arm ⋮ Combining neural and conventional paradigms for modelling,prediction and control

Cites Work

• Unnamed Item
• Wave envelope technique for multimode wave guide problems
• Robust model tracking control for a class of nonlinear plants
• Tracking control of non-linear systems using sliding surfaces, with application to robot manipulators†
• Adaptive model following control of nonlinear robotic systems
• An adaptive variable structure model following control design for robot manipulators
• Controller Design for a Manipulator Using Theory of Variable Structure Systems
• Robustness analysis of a pd controller with approximate gravity compensation for robot manipulator control
• Efficient Dynamic Computer Simulation of Robotic Mechanisms

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