TY  - CONF
AV  - none
TI  - Model predictive control: a multi-parametric programming approach
Y1  - 2000///
UR  - http://www.sciencedirect.com/science/article/pii/S1570794600800528
M2  - Florence, Italy
A1  - Bemporad, Alberto
A1  - Bozinis, Nikolaos A.
A1  - Dua, Vivek
A1  - Morari, Manfred
A1  - Pistikopoulos, Efstratios N.
N2  - In this paper, linear model predictive control problems are formulated as multi-parametric quadratic programs, where the control variables are treated as optimization variables and the state variables as parameters. It is shown that the control variables are affine functions of the state variables and each of these affine functions is valid in a certain polyhedral region in the space of state variables. An approach for deriving the explicit expressions of all the affine functions and their corresponding polyhedral regions is presented. The key advantage of this approach is that the control actions are computed off-line: the on-line computation simply reduces to a function evaluation problem.
SP  - 301
ID  - eprints612
EP  - 306
T2  - European Symposium on Computer Aided Process Engineering-10
ER  -