Title data
Jahn, Thomas U. ; Pannek, Jürgen:
Stability of Constrained Adaptive Model Predictive Control Algorithms.
Department of Mathematics, University of Bayreuth
Bayreuth
,
2011
. - 6 p.
Project information
Project title: |
Project's official title Project's id DFG Grant Gr1569/12-1 Leopoldina Fellowship Programme LPDS 2009-36 |
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Abstract in another language
Recently, suboptimality estimates for model predictive controllers (MPC) have been derived for the case without additional stabilizing endpoint constraints or a Lyapunov function type endpoint weight. The proposed methods yield a posteriori and a priori estimates of the degree of suboptimality with respect to the infinite horizon optimal control and can be evaluated at runtime of the MPC algorithm. Our aim is to design automatic adaptation strategies of the optimization horizon in order to guarantee stability and a predefined degree of suboptimality for the closed loop solution. Here, we present a stability proof for an arbitrary adaptation scheme and state a simple shortening and prolongation strategy which can be used for adapting the optimization horizon.
Further data
Item Type: | Preprint, postprint |
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Keywords: | adaptive control; model predictive control; stability; suboptimality; sampled-data control; sampled-data systems |
Institutions of the University: | Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics) Profile Fields Profile Fields > Advanced Fields Profile Fields > Advanced Fields > Nonlinear Dynamics |
Result of work at the UBT: | Yes |
DDC Subjects: | 500 Science > 510 Mathematics |
Date Deposited: | 28 Mar 2015 22:00 |
Last Modified: | 30 Mar 2015 07:10 |
URI: | https://eref.uni-bayreuth.de/id/eprint/9473 |
Available Versions of this Item
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