Nonlinear Predictive Control of Constrained Hammerstein Systems and Its Research on Simulation of Polypropylene Grade Transition

2010 ◽  
Vol 35 (12) ◽  
pp. 1558-1563 ◽  
Author(s):  
De-Feng HE ◽  
Li YU
2000 ◽  
Vol 33 (10) ◽  
pp. 701-706 ◽  
Author(s):  
Y. Wang ◽  
M. Ohshima ◽  
H. Seki ◽  
S. Ooyama ◽  
K. Akamatsu ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-6
Author(s):  
He De-Feng ◽  
Yu Li

This paper presents a new nonlinear model predictive control (MPC) algorithm for Hammerstein systems subject to constraints on the state, input, and intermediate variable. Taking no account of constraints, a desired linear controller of the intermediate variable is obtained by applying pole placement to the linear subsystem. Then, actual control actions are determined in consideration of constraints by online solving a finite horizon optimal control problem, where only the first control is calculated and others are approximated to reduce the computational demand. Moreover, the asymptotic stability can be guaranteed in certain condition. Finally, the simulation example of the grade transition control of industrial polypropylene plants is used to demonstrate the effectiveness of the results proposed here.


2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Messaoud Bounkhel ◽  
Lotfi Tadj

We use nonlinear model predictive control to find the optimal harvesting effort of a renewable resource system with a nonlinear state equation that maximizes a nonlinear profit function. A solution approach is proposed and discussed and satisfactory numerical illustrations are provided.


2007 ◽  
Vol 40 (12) ◽  
pp. 216-221 ◽  
Author(s):  
Smaranda Cristea ◽  
César de Prada

Author(s):  
Luisella Balbis ◽  
Reza Katebi ◽  
Ricardo Dunia ◽  
Andrzej Ordys ◽  
Michael J. Grimble

Sign in / Sign up

Export Citation Format

Share Document