A note on optimal experiment design for nonlinear systems using dynamic programming
Systems and Control
2015-03-26 v1 Optimization and Control
Abstract
We present a method of solving the T-optimal design problem for nonlinear dynamical systems using dynamic programming. In contrast with previous dynamic programming formulations, we avoid adding an equation for the dispersion to the system state, allowing for more efficient solutions.
Keywords
Cite
@article{arxiv.1503.07232,
title = {A note on optimal experiment design for nonlinear systems using dynamic programming},
author = {John Maidens and Murat Arcak},
journal= {arXiv preprint arXiv:1503.07232},
year = {2015}
}
Comments
4 pages, 1 figure