| Autor: |
Silva, Pedro Henrique Valderrama Bento da, Seman, Laio Oriel, Camponogara, Eduardo |
| Zdroj: |
IEEE Latin America Transactions; Nov2020, Vol. 18 Issue 11, p1933-1942, 10p |
| Abstrakt: |
This paper presents two decomposition approaches, Bilevel Optimization and Benders Decomposition, to a model predictive control of resource-constrained dynamic systems. The proposed methods yield a distributed solution that converges to the same optimum that would be obtained by a centralized controller. In this context, it is shown that the decompositions enable the use of multi-core or distributed architectures. A level regularization method is applied to accelerate the convergence of the Benders decomposition. Computational analyses from experiments with synthetic problems and a problem regarding the charging of vehicle batteries are reported and discussed, which showed that the decomposition approaches are effective at solving the distributed problems, achieving a global optimum. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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