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Adaptive Neural Network Control of Robotic Manipulators

Ge, S S, Lee, T H, Harris, C J·1998·World Scientific Series in Robotics and Intelligent Systems

Abstract

There has been considerable research interest in neural network control of robots, and satisfactory results have been obtained in solving some of the special issues associated with the problems of robot control in an on-and-off fasion. This text is dedicated to issues on adaptive control of robots based on neural networks. The text has been tailored to give a comprehensive study of robot dynamics, present structured network models for robots, and provide systematic approaches for neural network based adaptive controller design for rigid robots, flexible joint robots, and robots in constraint motion. Rigorous proof of the stability properties of adaptive neural network controllers is provided. Simulation examples are also presented to verify the effectiveness of the controllers, and practical implementation issues associated with the controllers are also discussed.

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Metadata

Authors
Ge, S. S., Lee, T. H., & Harris, C. J.
Venue
World Scientific Series in Robotics and Intelligent Systems
Published
1998-12
ISSN
1793-0774 (ISSN-L)
OpenAlex
W1493190793
Cited by
618
References
0
FWCI
13.02
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Adaptive Neural Network Control of Robotic Manipulators. https://app.cochat.ai/papers/10.1142/3774
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Ge, S. S., Lee, T. H., & Harris, C. J. (1998). Adaptive Neural Network Control of Robotic Manipulators. World Scientific Series in Robotics and Intelligent Systems. https://doi.org/10.1142/3774

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.