Please use this identifier to cite or link to this item:
|Title:||Controller decision making using neural networks||Authors:||Andres Prado Espinoza||Keywords:||DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation||Issue Date:||2008||Abstract:||Most industrial processes contain nonlinearities, making them difficult to control. To overcome this issue many authors have developed complex nonlinear algorithms and models, most of them being process dependant. However, creating local models to approximate the plant by linear regions is a suitable approach in most cases. This approach lets the engineer create local PID controllers and switch them according to the plant linear regions.||URI:||http://hdl.handle.net/10356/41420||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Theses|
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.