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Approaches to explicit Nonlinear Model Predictive Control with reduced partition complexity | IEEE Conference Publication | IEEE Xplore

Approaches to explicit Nonlinear Model Predictive Control with reduced partition complexity


Abstract:

Recently, several multi-parametric Nonlinear Programming approaches to explicit solution of constrained Nonlinear Model Predictive Control (NMPC) problems have been sugge...Show More

Abstract:

Recently, several multi-parametric Nonlinear Programming approaches to explicit solution of constrained Nonlinear Model Predictive Control (NMPC) problems have been suggested. The benefits of an explicit solution, in addition to the efficient on-line computations, include also verifiability of the implementation. However, the off-line computational complexity tends to increase rapidly with the number of states. In this paper, several approaches to reduce the off-line computational burden and the partition complexity of the explicit NMPC are proposed and illustrated with two examples.
Date of Conference: 23-26 August 2009
Date Added to IEEE Xplore: 02 April 2015
Print ISBN:978-3-9524173-9-3
Conference Location: Budapest, Hungary

References

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