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We found that the concept can also be applied to robust association tests.
(iv) In addition to the robust oscillation synchronization, the proposed method can be applied to robust synchronization design of coupled synthetic gene networks with any kind of dynamic behavior.
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The result is applied to robust stabilization of nonlinear uncertain discrete-time control systems.
Further, a novel L2 gain reduction criterion has been developed for multi-input multi-output systems with non-zero initial conditions, and is applied to robust synchronization of FHN neurons under L2 norm bounded disturbance and uncertainties.
Because the fuzzy model can approximate any non-linear system, the proposed robust regulation design method developed from the fuzzy stochastic game theory can be applied to the robust regulation design problem of any synthetic gene network that can be interpolated by a T S fuzzy model.
Additionally in our case, to estimate the regression coefficients, the iterative weighting method can be applied to estimate robust coefficients.
An example is given to illustrate how the proposed procedures can be applied to the robust design of a transmission line.
Therefore, the results obtained in [22] cannot be applied to check the robust stability of the CVNNs.
The criteria obtained in [35] cannot be applied to check the robust stability of the system in Example 1, since the system has distributed delay.
So the stability criteria obtained in [15] cannot be applied to check the robust stability of the system in Example 1.
If there is a specific signature of functional architecture for each dementia, how can these be applied to provide a robust differential diagnosis and aid the clinical diagnosis of patients in the prodromal stages of dementia?
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