Complexity Reduction in Explicit MPC through Model Reduction
نویسندگان
چکیده
منابع مشابه
Complexity Reduction in Explicit MPC through Model Reduction
In this paper we propose to use model reduction techniques to make explicit model predictive control possible and more attractive for a larger number of applications and for longer control horizons. The main drawback of explicit model predictive control is the large increase in controller complexity as the problem size increases. For this reason, the procedure is limited to applications with lo...
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Explicit piecewise linear (PWL) state feedback laws solving constrained linear model predictive control (MPC) problems can be obtained by solving multi-parametric quadratic programs (mp-QP) where the parameters are the elements of the state vector. This allows MPC to be implemented via a PWL function evaluation without real-time optimization. The main drawback of this approach is dramatic incre...
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ژورنال
عنوان ژورنال: IFAC Proceedings Volumes
سال: 2008
ISSN: 1474-6670
DOI: 10.3182/20080706-5-kr-1001.01304