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By using the Toolbox YALMIP in MATLAB to solve the LMI (29) and (30) we can obtain feasible solutions, the processes of asymptotic stability of mRNA concentration and protein concentration under Dirichlet boundary conditions are shown by Figures 1-8.
From this point of view, the complex morphologies of the Charales and Coleochaetales could have evolved completely independently by using the toolbox already present in the common ancestor of these streptophyte algae.
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By using the Matlab Toolbox, one has minimum (c_{2}=1.0252).
For a range of orders, controllers are synthesized by using the HIFOO toolbox.
Obviously, (14) is a strict LMI about matrix P and a scalar (epsilon>0), which can be solved numerically very efficiently by using the LMI Toolbox of Matlab.
The obtained results are formulated in terms of linear matrix inequalities (LMIs) which can be easily solved by using the MATLAB LMI toolbox.
The first one is a linearizing adaptive control and the second is an adaptive control designed by using the MATLAB toolbox DESIGNER.
The pitch features are extracted by using The Chroma Toolbox.2 The MMSE-based noise estimator is based on MATLAB implementation estnoiseg in Voicebox.3 The order of LTSD is 3.
In the experiments, two financial ratio sets, one extracted from the suggestions of other studies and the other obtained by using the GA toolbox in the SAS statistical software package, were applied to examine the proposed ratio selection schemes.
In the present study, we computed the imaginary coherence values between the 12 DMN regions and the bilateral insula, S1, and V1 by using the FieldTrip toolbox (http://fieldtrip.fcdonders.nl/) and obtained the full 6×12 adjacency matrix.
Delay-dependent asymptotically stability condition is established for the system of the estimation error, which can be readily solved by using the LMI toolbox in MATLAB, the solvability of derived conditions depends on not only the size of the delay and the sampling period, but also the probability of taking values of the sampling period.
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