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Men perceived themselves as physically strong, tough, resilient, problem solvers and capable of withstanding 'little illnesses'.
We must continue to be vigilant and do much more if we are to see a dent in this devastating and resilient problem".
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M&S insists that its new web site is "technically resilient" – the problem appears to be that it's not cracked how to run it properly.
He could have set out these spending plans next year when he knew more about the state of the economy, and still convinced the financial institutions he was seriously grappling with a very resilient debt problem.
This paper concerns the resilient estimation problem for nonlinear descriptor semi-Markov jumps systems (S-MJSs) with time-varying delay via Takagi Sugeno (T-S) fuzzy model, where descriptor S-MJSs, T-S fuzzy model and resilient estimator design are firstly considered in a unified framework.
A common linear matrix inequality framework is presented to address the stochastic resilient design problem for various performance criteria in the implementation based on the knowledge of an upper bound on the variance of the random error in the observer gain.
It has been suggested that greater emotional awareness, in combination with physical maturation and language skills make girls more likely to be resilient to problems generally than boys (Zahn-Waxler, Shirtcliff, & Marceau, 2008).
As I've written here before, finding and disseminating education methods that foster creative, collaborative and resilient learning and problem solving is a prime path toward fitting human aspirations on a finite planet.
Two lemmas are given for reducing high-order nonlinearities, with the aid of which sufficient conditions are presented for the solvability of the robust resilient L2−L∞ control problem.
The error in the observer gain is modeled as a random process and a common linear matrix inequality formulation is presented to address the stochastically resilient observer design problem for a variety of performance criteria.
In this paper, the resilient state estimation problem is investigated for a class of discrete recurrent neural networks (RNNs) subject to mixed time-delays, missing measurements and stochastic disturbance.
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