Title :
Constrained generalized predictive control using relaxation with quadratic penalization
Author :
Munoz, Carlos ; Cipriano, Aldo
Author_Institution :
Dept. of Electr. Eng., Univ. de La Frontera, Temuco, Chile
Abstract :
In this paper an iterative algorithm will be derived to find a numerical solution for the generalized predictive control of linear systems with constraints on controlled and manipulated variables. The algorithm uses the relaxation method with quadratic penalization. Conditions are proposed for the convergence of the iterative solution and results of the application to a second order linear system are presented.
Keywords :
iterative methods; linear systems; predictive control; quadratic programming; constrained generalized predictive control; convergence; iterative algorithm; quadratic penalization; second order linear system; Algorithm design and analysis; Convergence; Europe; Linear programming; Prediction algorithms; Predictive control; Vectors; Control of Complex Systems; Control of Non-linear Discrete-time Systems; Optimal Control; Predictive Control; Supervisory Control;
Conference_Titel :
Control Conference (ECC), 2001 European
Conference_Location :
Porto
Print_ISBN :
978-3-9524173-6-2
