Robust neural network controller for variable airflow volume system

• المؤلف الرئيسي: Syed Mahmud Husain.
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Theses and Dissertations
• منشور في: 2008
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
• الوصول للمادة أونلاين: http://hdl.handle.net/10356/3323
• المؤسسة: Nanyang Technological University

In this dissertation work, we concentrate on the analysis of a neural network (NN) tracking controller for the Variable Airflow Volume (VAV) system. A robust weight-tuning algorithm is proposed to train the multi-layered NN with a dead zone scheme. This scheme assures the convergence of the NN track...