.png){kind=icon}
Return
Direct data-driven recursive controller unfalsitication with analytic update
.png){kind=icon}
PRE
AI
DOI：10.1016/j.automatica.2007.04.026.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Unfalsified control is a data-driven, plant-model-free controller design method, which recursively falsifies controllers that fail to meet the specified performance requirement. In ellipsoidal unfalsified control, the region of controllers that are unfalsified, the unfalsified set, is described by an ellipsoid. Due to the combination of the performance requirement and controller structure, the approximate update of the unfalsified set can be computed analytically, resulting in a computationally cheap algorithm. Conditions for stability of ellipsoidal unfalsified control are presented, and the effectiveness of the proposed algorithm is shown in a simulation. (c) 2007 Elsevier Ltd. All rights reserved.
Keywords:
adaptive control
self-tuning control
stability analysis
unfalsified control
ellipsoidal unfalsified set
switching control
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:
1.2W
Citations:
5.2W
Organization
Cited Papers
.png){kind=icon}
ShareSave
ShareSaveShareSave
View more