Process identification using second order Volterra models for nonlinear model predictive control design of flotation circuits

Process identification using second order Volterra models for nonlinear model predictive control design of flotation circuits

The control of flotation circuits is a complicated problem, since flotation circuits are nonlinear multivariable processes with a significant degree of interaction between the variables. Isolated PID controllers usually do not perform adequately. The application of a nonlinear model predictive algor...

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Bibliographic Details
Main Author: Delport, Ruanne
Other Authors: Prof P L de Vaal
Published: 2013
Subjects:
Flotation
Nonlinear
Control
Model predictive
Volterra
UCTD
Online Access:http://hdl.handle.net/2263/24540
Delport, R 2004, Process identification using second order Volterra models for nonlinear model predictive control design of flotation circuits, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/24540 >
http://upetd.up.ac.za/thesis/available/etd-05112005-091046/

Internet

http://hdl.handle.net/2263/24540
Delport, R 2004, Process identification using second order Volterra models for nonlinear model predictive control design of flotation circuits, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/24540 >
http://upetd.up.ac.za/thesis/available/etd-05112005-091046/

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