Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
714545 | IFAC Proceedings Volumes | 2012 | 6 Pages |
Abstract
We exploit symmetry to reduce the memory storage requirements of linear explicit model predictive controllers. In the first part of the paper we define controller symmetry. We describe how symmetry can be used to compress the explicit controller and discuss the implementation of the resulting compressed controller. In the second part we develop a method for computing the reduced-memory controller without first computing the full-memory controller by employing the concept of fundamental domain.
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