Patrinos, Panagiotis and Bemporad, Alberto An accelerated dual gradient-projection algorithm for embedded linear model predictive control. IEEE Transactions on Automatic Control , 59 (1). pp. 18-33. ISSN 0018-9286 (2014)
Full text not available from this repository.Abstract
This paper proposes a dual fast gradient-projection method for solving quadratic programming problems that arise in model predictive control of linear systems subject to general polyhedral constraints on inputs and states. The proposed algorithm is well suited for embedded control applications in that: 1) it is extremely simple and easy to code; 2) the number of iterations to reach a given accuracy in terms of optimality and feasibility of the primal solution can be tightly estimated; and 3) the computational cost per iteration increases only linearly with the prediction horizon.
| Item Type: | Article |
|---|---|
| Identification Number: | https://doi.org/10.1109/TAC.2013.2275667 |
| Uncontrolled Keywords: | Computational methods; optimization algorithms; predictive control for linear systems |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TJ Mechanical engineering and machinery |
| Research Area: | Computer Science and Applications |
| Depositing User: | Ms T. Iannizzi |
| Date Deposited: | 05 Mar 2014 13:21 |
| Last Modified: | 05 Mar 2014 14:06 |
| URI: | http://eprints.imtlucca.it/id/eprint/2173 |
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