arXiv · 1205.2168
Measures and LMI for space launcher robust control validation
Abstract
We describe a new temporal verification framework for safety and robustness analysis of nonlinear control laws, our target application being a space launcher vehicle. Robustness analysis, formulated as a nonconvex nonlinear optimization problem on admissible trajectories corresponding to piecewise polynomial dynamics, is relaxed into a convex linear programming problem on measures. This infinite-dimensional problem is then formulated as a generalized moment problem, which allows for a numerical solution via a hierarchy of linear matrix inequality relaxations solved by semidefinite programming. The approach is illustrated on space launcher vehicle benchmark problems, in the presence of closed-loop nonlinearities (saturations and dead-zones) and axis coupling.
Explore related subjects
Keep this discovery
Didier Henrion, Martine Ganet-Schoeller, Samir Bennani. 2012-05-10. Measures and LMI for space launcher robust control validation. https://arxiv.org/abs/1205.2168
Cite the original work for its findings. Save a collection to share your selection of sources.