Zobrazeno 1 - 10
of 5 191
pro vyhledávání: '"Holonomic systems"'
Autor:
Jing Yang, Yuqiang Wu
Publikováno v:
IET Control Theory & Applications, Vol 18, Iss 10, Pp 1223-1231 (2024)
Abstract For a class of chain non‐holonomic systems with external disturbance and function constraints, the tan‐type barrier Lyapunov function is used to solve the constraints of the system, and then the non‐linear disturbance observer is used
Externí odkaz:
https://doaj.org/article/ab68055800f94d88a258145f2143ebbc
Akademický článek
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Autor:
Manjarres, A. D Bermúdez
We construct an operational formulation of classical mechanics without presupposing previous results from analytical mechanics. In doing so, several concepts from analytical mechanics will be rediscovered from an entirely new perspective. We start by
Externí odkaz:
http://arxiv.org/abs/2204.02955
Autor:
Oprea, Maria, Clark, William
Why do we move forward when we walk? Our legs undergo periodic motion and thus possess no net change in position; however, our bodies do possess a net change in position and we are propelled forward. From a geometric perspective, this phenomenon of p
Externí odkaz:
http://arxiv.org/abs/2203.16425
Let $V$ be a symmetric space over a connected reductive Lie algebra $G$, with Lie algebra $\mathfrak{g}$ and discriminant $\delta\in \mathbb{C}[V]$. A fundamental object is the invariant holonomic system $\mathcal{G} =\mathcal{D}(V)\Big/ \Bigl(\mathc
Externí odkaz:
http://arxiv.org/abs/2109.11387
Publikováno v:
In Automatica June 2023 152
Autor:
Xu, Jingbo1 (AUTHOR) liukangping@mails.jlnu.edu.cn, Liu, Kangping1 (AUTHOR), Cheng, Xiaoliang1 (AUTHOR)
Publikováno v:
Axioms (2075-1680). Jan2024, Vol. 13 Issue 1, p55. 11p.
This paper presents a supervised learning method to generate continuous cost-to-go functions of non-holonomic systems directly from the workspace description. Supervision from informative examples reduces training time and improves network performanc
Externí odkaz:
http://arxiv.org/abs/2103.11168
This paper presents a sampling-based method for optimal motion planning in non-holonomic systems in the absence of known cost functions. It uses the principle of learning through experience to deduce the cost-to-go of regions within the workspace. Th
Externí odkaz:
http://arxiv.org/abs/2101.02635