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The objective of this study is to develop a reliable and robust analysis system that can automatically detect motor imagery (MI) based electroencephalogram (EEG) signals for the development of brain computer interface (BCI) systems.
Pathway analysis was performed using Ingenuity Pathway Analysis (IPA) (www.ingenuity.com), which is a robust analysis system and database (Ingenuity Pathways Knowledge Base, IPKB) that can be used to identify biological networks based on information extracted from peer-reviewed literature[15].
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The challenge is therefore to find or adapt a robust genetic analysis system for working with such small amounts of starting material.
The model is developed in a general form such that it can be extended for the robust analysis of other systems or experimental conditions.
To assay the hundreds of fish necessary for this technique, a robust high-throughput video analysis system is essential.
This work presents the design, fabrication, and characterization of a robust 3D printed microfluidic analysis system that integrates with FDA-approved clinical microdialysis probes for continuous monitoring of human tissue metabolite levels.
In particular, we study the modeling of uncertain systems, robust stability analysis for systems with unstructured uncertainty, robustness analysis for systems with structured uncertainty, and robust control system design including H∞ control methods.
A least one sufficient condition guaranteeing global exponential stability of each of three subclasses was derived by different method including the "averaged" system approach, multiple and single Lyapunov function, and robust analysis of linear time-variant systems.
Equations of this type arise in the robust analysis and design of linear control systems.
This paper focuses on a class of uncertain nonlinear systems which are subject to norm-bounded parameter uncertainty in the forward path and a vector-valued periodic nonlinearity in the feedback path, and addresses robust analysis and synthesis problems for such systems.
This paper is concerned with the robust analysis and control of continuous-time Markov jump linear systems.
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