This publication brings together the latest research findings in the key area of chemical process control; including dynamic modelling and simulation - modelling and model validation for application in linear and nonlinear model-based control: nonlinear model-based predictive control and optimization - to facilitate constrained real-time optimization of chemical processes; statistical control techniques - major developments in the statistical interpretation of measured data to guide future research; knowledge-based v model-based control - the integration of theoretical aspects of control and optimization theory with more recent developments in artificial intelligence and computer science.The block diagram of the MPC is shown in Fig.4, and the simulation results are shown in Fig.5. The following desirable fuel control was realized by applying the proposed MPC method. When the fuel gas load was Distillation Greal(s) : Gm(s) ( Ianbsp;...
|Title||:||Advanced Control of Chemical Processes 1994|
|Publisher||:||Elsevier - 2014-05-23|