Performance bounds for NMPC combined with Sensitivity Updates

Details Performance bounds for NMPC combined with Sensitivity Updates Performance bounds for NMPC combined with Sensitivity Updates

2012-04-16

arxiv.org/abs/1204.3592v1

Mathematics

Optimization and Control

6 pages, 2 figures

Scientific paper

In this paper we present a stability proof of model predictive control without stabilizing terminal constraints of cost which are subject to unknown but measurable disturbances. To this end, a relaxed Lyapunov argument on the nominal system and Lipschitz conditions on the open loop change of the optimal value function and the stage costs are employed. Based on the special case of sensitivity analysis, we show that Lipschitz assumptions are satisfied if a sensitivity update can be performed along the closed loop solution. To illustrate our approach we present a halfcar example and show performance improvement of the updated solution with respect to comfort and handling properties.

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