Controller decision making using neural networks

• المؤلف الرئيسي: Andres Prado Espinoza
• مؤلفون آخرون: Mao Kezhi
• التنسيق: Theses and Dissertations
• اللغة: English
• منشور في: 2010
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
• الوصول للمادة أونلاين: http://hdl.handle.net/10356/41420

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 suita...