Computing controlled invariant sets for hybrid systems with applications to model-predictive control
Optimization and Control
2018-02-20 v2
Abstract
In this paper, we develop a method for computing controlled invariant sets using Semidefinite Programming. We apply our method to the controller design problem for switching affine systems with polytopic safe sets. The task is reduced to a semidefinite programming problem by enforcing an invariance relation in the dual space of the geometric problem. The paper ends with an application to safety critical model predictive control.
Keywords
Cite
@article{arxiv.1802.04522,
title = {Computing controlled invariant sets for hybrid systems with applications to model-predictive control},
author = {Benoît Legat and Paulo Tabuada and Raphaël M. Jungers},
journal= {arXiv preprint arXiv:1802.04522},
year = {2018}
}
Comments
7 pages, 7 figures, submitted to ADHS 2018 (under review)