This paper is concerned with global robust stability of a general class of discrete-time interval neural networks which contain time-invariant uncertain parameters with their values being unknown but ...

Here, we define a requirement for neural activity in mobilizing the antioxidant defenses of the nematode Caenorhabditis elegans both during chronic oxidative stress and prior to its onset. We show ...

A confidence interval, in statistics, refers to the probability that a population parameter will fall between two set values.

This paper is concerned with the fault detection and diagnosis (FDD) problem for linear time-varying (LTV) discrete-time uncertain systems subject to component faults and uncertainties. The FDD ...

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