Parametric approach to robust stability with both parametric and nonparametric uncertainties
Minyue Fu
Abstract
Minyue Fu
Abstract
It is shown that the robust stability problem for a linear system with both parametric and nonparametric uncertainties is equivalent to a robust stability problem with parametric uncertainty only. This is achieved by converting the nonparametric uncertainty into a fictitious linear parameter. When applied to systems with affine parametric uncertainty and nonparametric uncertainty, the resulting robust stability problem involves bilinear parametric uncertainty which can be simply tested. This result is also useful in computing H/sub infinity / norm and strict positive realness for systems with parametric uncertainty.>
OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
It is shown that the robust stability problem for a linear system with both parametric and nonparametric uncertainties is equivalent to a robust stability problem with parametric uncertainty only. This is achieved by converting the nonparametric uncertainty into a fictitious linear parameter. When applied to systems with affine parametric uncertainty and nonparametric uncertainty, the resulting robust stability problem involves bilinear parametric uncertainty which can be simply tested. This result is also useful in computing H/sub infinity / norm and strict positive realness for systems with parametric uncertainty.>
Key concepts: Nonparametric statistics, Parametric statistics, Affine transformation, Mathematics, Robust control, Stability (learning theory), Norm (philosophy), Bilinear interpolation