Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
707749 | European Journal of Control | 2013 | 9 Pages |
Abstract
In this paper, we propose an economic model predictive control (MPC) framework with a self-tuning terminal weight, which builds on a recently proposed MPC algorithm with a generalized terminal state constraint. First, given a general time-varying terminal weight, we derive an upper bound on the closed-loop average performance which depends on the limit value of the predicted terminal state. After that, we derive conditions for a self-tuning terminal weight such that bounds for this limit value can be obtained. Finally, we propose several update rules for the self-tuning terminal weight and analyze their respective properties. We illustrate our findings with several examples.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Matthias A. Müller, David Angeli, Frank Allgöwer,