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The proposed design is tested using a nonlinear simulation of the FCC unit model.
Then, the results are verified by using a nonlinear simulation for three types of equilibrium conditions.
The performance of these two approaches is evaluated using a nonlinear simulation model and considering either accelerometer or position measurements.
The proposed control method is firstly designed by using a nonlinear simulation model built in Matlab Simulink and then implemented in a practical test rig.
Simulation experiments using a nonlinear simulation package of utility boilers called SYNSIM reveal that the proposed design strategy overcomes control problems in the present plant and maintains stability in the presence of sudden load variations.
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The validity of the methods will be tested firstly in simulation by using a nonlinear model of waste water treatment process with and without measurement noise and secondly with the same nonlinear model but by using this time real data.
Simulation results are given using a nonlinear model of the canal irrigation.
The performances of the methods are demonstrated using a nonlinear system simulation example.
The results are compared with the recent simulations using a nonlinear dynamic model.
A tuning approach based on the computation of sensitivity tables is proposed and tested via numerical simulations using a nonlinear turbine model.
The working and effectiveness of the proposed MPC methodology has been analyzed in simulation using a nonlinear HCCI engine model.
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