Title :
An efficient quadratic programming algorithm for predictive control
Author :
Rossiter, J.A. ; Chisci, L.
Author_Institution :
Dept. of Autom. Control & Syst. Eng., Sheffield Univ., Sheffield, UK
Abstract :
This paper introduces a novel quadratic programming algorithm which will often converge to the optimal point in at most n iterations, when there are n degrees of freedom. Following a description of the algorithm and an efficient implementation, some comparisons are made with the more conventional active set method.
Keywords :
convergence; multivariable control systems; predictive control; quadratic programming; set theory; active set method; degree-of-freedom; optimal point convergence; predictive control; quadratic programming algorithm; Cost function; Indexes; MATLAB; Prediction algorithms; Predictive control; Quadratic programming; computationally efficient; predictive control;
Conference_Titel :
Control Conference (ECC), 2001 European
Conference_Location :
Porto
Print_ISBN :
978-3-9524173-6-2
