.png){kind=icon}
.png){kind=icon}
Return
Optimal reference tracking with arbitrary sampling☆
.png){kind=icon}
OA
AI
DOI：10.1016/j.automatica.2025.112308.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
It is a standard engineering practice to design feedback-based control to have a system follow a given trajectory. While the trajectory is continuous-time, the sequence of references is varied at discrete times, which may not be periodic. In this paper, we propose a method to determine the discrete-time references which minimizes a weighted L2 distance between the achieved trajectory and the target trajectory. Also, we consider any arbitrary sequence of sampling instants. The proposed method is then assessed over different simulation results, analyzing the design parameters' effects, and over an unmanned aerial vehicle (UAV) use case. (c) 2025 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords:
Mobile robots
Optimal control
Trajectory tracking
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
5.9
Papers:
1.1W
Citations:
5.2W
View more organizations