Nonconvex Optimization Problems for Maximum Hands-Off Control
Maximum hands-off control is the optimal solution to the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$L^{0}$</tex-math></inline-formula> optimal control problem. While convex approximation is typically used to relax this problem, it does not necessarily result in maximum hands-off control. Therefore, this study introduces a nonconvex approximation method and a class of nonconvex optimal control problems that are always equivalent to the maximum hands-off control problem. A computation method based on difference of convex functions optimization is then derived and numerically validated.
Authors
- Takuya Ikeda (ORCID: https://orcid.org/0000-0002-3312-5120)
Institutions
- The University of Kitakyushu (JP)
Publication Details
- Journal
- IEEE Transactions on Automatic Control
- Published
- 2024-10-03
- DOI
- https://doi.org/10.1109/tac.2024.3474061
- Citations
- 2
- Primary Topic
- Stability and Control of Uncertain Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.66