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Singular value analysis is used.
The critical disturbance profile is obtained from a robust performance formulation based on Structured Singular Value analysis.
Structured singular value analysis for nonlinear and time-varying uncertainty facilitated the determination of theoretical stability of the DGS loop.
Structured singular value analysis determines the volume in parameter space within which the system parameters may exist and still maintain efficacious signaling, but is limited to linear behaviors.
Furthermore, a small amount of flexibility is included in the selection of the eigenvalue locations and the improvement in the robustness is evaluated by singular value analysis.
Finally we employ the structured singular value analysis and synthesis, which is a newly developed robust control method, to design and analyze the robust controller for TCSC.
Similar(43)
In this paper, we use singular-value analysis to optimize experimental parameters relevant to the design and operation of emerging 360° fluorescence molecular tomography (FMT) methods and systems for small animal imaging.
Here we use singular value decomposition analysis of modENCODE RNA-seq data combined with GC-MS-based metabolomic analysis to analyze the changes in gene expression and metabolism that occur during Drosophila embryogenesis, spanning the onset of aerobic glycolysis.
Kamiyoshihara, T., Kojima, M., Uéda, K. & Tashiro, M. Observation of multiple intermediates in α-synuclein fibril formation by singular value decomposition analysis.
A norm-bounded metric based on Structured Singular Value (SSV) analysis is employed to estimate the worst-case deviation in the process constraints in the presence of critical realizations in the disturbances.
Using the identified uncertain model, a Structured Singular Value (SSV) analysis is used to estimate the realizations in the disturbance set that generates the worst-case variability and constraint violations.
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