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Title: Gains self-tuning of a large compliance system by combining artificial neural networks and genetic algorithms
Authors: Yuan, Yuan.
Keywords: DRNTU::Engineering::Mechanical engineering
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Issue Date: 1998
Abstract: This project used two kinds of techniques in the field of artificial intelligence, the artificial neural network and the genetic algorithms, to self-tune the gain of a large compliance system a nonlinear servo pneumatic cylinder system for continuous load positioning.
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Theses

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