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Lyapunov and passivity based methods are given for the systematic design of globally stabilizing feedback controllers in both the concentration space and a novel minimal description of the kinetic networks dynamics: the reaction space.
Some of the recent studies dealing with current prediction using physics based methods are given below: Farrara et al. (2013) developed a three-dimensional ocean model based on ROMS driven by output from a regional atmospheric model component and validated against independent observations.
An identification based method is given to design the pre-filter required to obtain the desired loop shape.
In addition, a kernel function based method is given to deal with nonlinear correlations between multiple features of crystals, facilitating computation efficiency for real-time shape identification.
A block diagram of general framework in bitstream-based methods is given in Figure9.
An overview of the texture-based methods is given in Table 1.
The p v a l u e, which is given by both resampling based methods is 0.038.
Besides, the Kaplan-Meier estimate of the survival curves for the groups with the best and worst predicted phenotypes based on CBV, using the two methods, is given in Figure 4.
It is also clear that if the gradient based methods are employed, this gives a considerable further improvement.
In order to avoid the combinatorial problem common to the selection of outputs/measurements for such large plants, applications of singular value decomposition (SVD) based methods are used which, although not guaranteeing optimality, give a consistent and practical way for selection.
In [6], an approximate solution based on the decomposition method is given for the generalized fractional diffusion-wave equation.
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