Gains self-tuning of a large compliance system by combining artificial neural networks and genetic algorithms

• Main Author: Yuan, Yuan.
• Other Authors: Sim, Siang Kok
• Format: Theses and Dissertations
• Language: English
• Published: 2009
• Subjects: DRNTU::Engineering::Mechanical engineering; DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: http://hdl.handle.net/10356/19862
• Institution: Nanyang Technological University

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.