TY  - JOUR
Y1  - 2000///
SN  - 0098-1354
N2  - In this paper, on-line optimization problems with a quadratic performance criteria and linear constraints are formulated as multi-parametric quadratic programs, where the input and state variables, corresponding to a plant, are treated as optimization variables and parameters, respectively. The solution of such problems is given by (i) a complete set of profiles of all the optimal inputs to the plant as a function of state variables, and (ii) the regions in the space of state variables where these functions remain optimal. It is shown that these profiles are linear and the corresponding regions are described by linear inequalities. An algorithm for obtaining these profiles and corresponding regions of optimality is also presented. The key feature of the proposed approach is that the on-line optimization problem is solved off-line via parametric programming techniques, hence, at each time interval (i) no optimization solver is called on-line, (ii) simple function evaluations are required for obtaining the optimal inputs to the plant for the current state of the plant.
JF  - Computers and Chemical Engineering
SP  - 183
A1  - Pistikopoulos, Efstratios N.
A1  - Dua, Vivek
A1  - Bozinis, Nikolaos A.
A1  - Bemporad, Alberto
A1  - Morari, Manfred
EP  - 188
VL  - 24
PB  - Elsevier
IS  - 2-7
UR  - http://www.sciencedirect.com/science/article/pii/S009813540000510X
KW  - Real-time optimization; Model predictive control; Multi-parametric quadratic programming
AV  - none
TI  - On-line optimization via off-line parametric optimization tools
ID  - eprints482
ER  -