Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/4932
Title: Modeling and control of a robot manipulator using neural networks
Authors: Neo, Heng Soon
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
Issue Date: 2000
Abstract: This thesis presents a three-layer neural networks controller suitable for controlling a SCARA robot. A modified feedback error propagation learning algorithm was used to train the multi-layered neural network. A powerful graphical software tool, known as Simulink, was used to build graphical block diagrams of the entire control system, simulate dynamic response of the system, evaluate system performance and refine the design.
URI: http://hdl.handle.net/10356/4932
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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