Pistikopoulos, Efstratios N. and Dua, Vivek and Bozinis, Nikolaos A. and Bemporad, Alberto and Morari, Manfred On-line optimization via off-line parametric optimization tools. Computers and Chemical Engineering, 24 (2-7). pp. 183-188. ISSN 0098-1354 (2000)
Full text not available from this repository.Abstract
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.
| Item Type: | Article |
|---|---|
| Identification Number: | https://doi.org/10.1016/S0098-1354(00)00510-X |
| Uncontrolled Keywords: | Real-time optimization; Model predictive control; Multi-parametric quadratic programming |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Research Area: | Computer Science and Applications |
| Depositing User: | Professor Alberto Bemporad |
| Date Deposited: | 27 Jul 2011 09:16 |
| Last Modified: | 17 Jul 2014 12:22 |
| URI: | http://eprints.imtlucca.it/id/eprint/482 |
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