.png){kind=icon}
Return
Parametric Robust Structured Control Design
.png){kind=icon}
OA
AI
DOI：10.1109/TAC.2015.2396644.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
We present a new approach to parametric robust controller design, where we compute controllers of arbitrary order and structure which minimize the worst-case H-infinity norm over a pre-specified set of uncertain parameters. At the core of our method is a nonsmooth minimization method tailored to functions which are semi-infinite minima of smooth functions. A rich test bench and a more detailed example illustrate the potential of the technique, which can deal with complex problems involving multiple possibly repeated uncertain parameters.
Keywords:
Inner approximation
local optimality
nonsmooth optimization
parametric robust control
real uncertain parameters
structured H-infinity-synthesis
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7
Papers:
1.3W
Citations:
6.7W
Organization
Cited Papers
.png){kind=icon}
ShareSaveShareSaveShareSavePipelines, Persistence, and Perfidy: Institutional Unknowing and Betrayal Trauma in Engineering
PREAI
ShareSaveShareSaveShareSave
View more