Iterative genetic-fuzzy learning for plant automation

• Main Author: Ng, Wil Lie.
• Other Authors: Lim, Meng Hiot
• Format: Theses and Dissertations
• Published: 2008
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering; DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: http://hdl.handle.net/10356/4971
• Institution: Nanyang Technological University

A methodology of learning fuzzy rules using a genetic algorithm (GA). Through observations on a series of control actions from an expert, we aim to let the system derive a control model to emulate the expert's decision-making process in monitoring a plant.