Horizon Adaptation for Nonlinear Model Predictive Controllers with guaranteed Degree of Suboptimality

J. Pannek: Horizon Adaptation for Nonlinear Model Predictive Controllers with guaranteed Degree of Suboptimality
Preprint, University of Bayreuth, 2009, 20 pages

Smart-Link: http://arxiv.org/abs/1105.3037
Download as PDF (external link)
Download as PDF


Abstract:

We propose adaptation strategies to modify the standard constrained model predictive controller scheme in order to guarantee a certain lower bound on the degree of suboptimality. Within this analysis, the length of the optimization horizon is the parameter we wish to adapt. We develop and prove several shortening and prolongation strategies which also allow for an effective implementation. Moreover, extensions of stability results and suboptimality estimates to model predictive controllers with varying optimization horizon are shown. 

Chair -

|  University of Bayreuth -