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Trajectory tracking control of a pneumatic X-Y table using neural network based PID control

โœ Scribed by Seung Ho Cho


Publisher
Korean Society for Precision Engineering
Year
2009
Tongue
English
Weight
856 KB
Volume
10
Category
Article
ISSN
1229-8557

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โœ Chia-Ju Wu; Ching-Huo Huang ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 633 KB

A simple and effective method for trajectory tracking of robotic manipulator is proposed. The first step is to employ a neural network to learn the characteristics of the inverse dynamics of the robotic manipulator in an off-line manner. Then the neural network is placed in series with the robotic m