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The Lyapunov stability approach with parameter dependent Lyapunov function is considered to decrease conservativeness of quadratic stability approach.
We believe the modeling approach with parameter identification technique can be extended to any other Al-rich alloys with long period superstructures.
The interplay of these different factors is complex; therefore, we have used a modeling approach with parameter inputs largely derived from in vitro data to simulate the plasma concentrations of trastuzumab following different dosing regimens in individuals with different levels of ECDHER2 in plasma.
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He argues that the approach with parameters requires that a finite list of contextual features is given in an advance.
For qualitative visual assessment of radioligand distribution, parametric images of [18F]MNI-659 V T were generated using the wavelet aided parametric imaging (WAPI) approach [6], with parameter settings optimized for HRRT data [7].
The design methodology of this data-driven controller uses the Lyapunov synthesis approach with a parameter projection algorithm to construct an adaptive fuzzy controller (AFC), and guarantees the global stability of the resulting closed-loop system.
Table 6 shows the results and the comparisons confirm that the proposed approach in the scenario in which parameters are handled with least fuzziness can obtain similar results of classic approach with crisp parameters and variables.
A novel approach with free parameters is proposed.
It is applied as initial stage of the proposed filtering approach with design parameters explained in the next section.
DM+NMF is also conceptually simpler than our previous MDI+NMF approach, with fewer parameters to optimize.
For convenience, we assume that all SUs use the same OOBE/ACI suppression approach with the parameters defined in Table 2.
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