Complexity of control-affine motion planning
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Abstract (arXiv)
In this paper we study the complexity of the motion planning problem for control-affine systems. Such complexities are already defined and rather well-understood in the particular case of nonholonomic (or sub-Riemannian) systems. Our aim is to generalize these notions and results to systems with a drift. Accordingly, we present various definitions of complexity, as functions of the curve that is approximated, and of the precision of the approximation. Due to the lack of time-rescaling invariance of these systems, we consider geometric and parametrized curves separately. Then, we give some asymptotic estimates for these quantities.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 10 Sep 2013.
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Citing papers per year: 2022: 1.
1 paper.
- 2022Turnpike in optimal control of PDEs, ResNets, and beyondcited by 11
- 2022Turnpike in optimal control of PDEs, ResNets, and beyond8 Feb 2022