Title :
Steady-state target optimization in linear model predictive control
Author :
Muske, Kenneth R.
Author_Institution :
Dept. of Chem. Eng., Villanova Univ., PA, USA
Abstract :
For practical model predictive control applications, a receding horizon regulator must be able to handle nonzero controlled variable targets and nonsquare systems in a consistent manner. This work presents a steady-state target optimization that determines the steady-state state and input targets for a constrained, linear, state-space regulator
Keywords :
predictive control; constrained linear state-space regulator; linear model predictive control; nonsquare systems; nonzero controlled variable targets; receding horizon regulator; steady-state target optimization; Chemical engineering; Constraint optimization; Control systems; Least squares methods; Predictive control; Predictive models; Regulators; Steady-state; Target tracking; Vectors;
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3832-4
DOI :
10.1109/ACC.1997.609493
