Autor: |
Bloemen, H. H. J., van den Boom, T. J. J., Verbruggen, H. B. |
Předmět: |
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Zdroj: |
International Journal of Control; 3/1/2002, Vol. 75 Issue 4, p275-284, 10p |
Abstrakt: |
Closed-loop stabilizing model-based predictive control (MPC) algorithms for discrete-time bilinear and state-affine models are presented. Stability of the closed-loop is obtained through the use of an appropriate end-point weighting and end-point inequality constraint. In this way the infinite-horizon performance index is bounded from above by the objective function that is minimized in the MPC algorithm. This paper presents an algorithm that aims at obtaining a large feasibility region by maximizing off-line the region that is defined by the end-point inequality constraint. In order to improve the performance of the MPC algorithm, the conservatism of the upper bound on the infinite-horizon performance index is reduced in the on-line computations. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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