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A common approach for robustness analysis is scenario technique.
This information can then be used for robustness analysis or control design.
Factorial experimental design is common practice in industry today for robustness analysis.
The techniques of matrix norm inequalities are often addressed for robustness analysis of the controller.
For robustness analysis, the standard deviation of standard levels (300, 500 and 700 ng) was estimated for each parameter.
For robustness analysis, the S.D. of peak area of standard levels (200, 400 and 800 ng) was estimated for each parameter.
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In this paper, it is proposed a possible alternative way to overcome the difficulty encountered by the NLMI characterization of robustness analysis for nonlinear uncertain systems.
Although theoretical results already exist in the literature for the robustness analysis and for the robust design of NMPC in the face of a given description and related bound of the model uncertainty, the issue of how to practically estimate such an uncertainty bound is still an open one.
The implications of these results for the robustness analysis of uncertain time delay systems, for control design and for the study of strictly positive real time delay systems are discussed.
In this paper, we present a methodology for the robustness analysis of interval type-2 FLSs (IT2 FLSs) that also holds for T1 FLSs, hence, making it more general.
Kharitonov's theorem is used for the robustness analysis.
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