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A biological system is formulated to a multi-input-multi-output (MIMO) Takagi Sugeno (T S) fuzzy system, which is composed of rule-based linear subsystems.
Power allocation problem is formulated to a minimization under the conditions that a minimal speed bound is set for secondary user's data transmission and a maximal threshold is set to restrict the average interference power caused by secondary user to main user.
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This metabolic network was formulated to a stoichiometric model.
The reconstructed metabolic network can be formulated to a constraint-based flux model to predict and analyze the carbon fluxes in microbial metabolisms.
The governing equation of the Z-type arrangement was formulated to an inhomogeneous version of the U-type one.
In multilevel B-spline interpolation algorithm, a multiresolution approach is formulated to compute an interpolating surface from a set of scattered data points.
The model equations are solved using gPROMS®, and a NLP problem is formulated to maximize a performance objective function.
Based on the DDS model, a nonlinear integer programming is formulated to maximize a downstream gene by searching regulatory target genes for deletion.
A convex optimization with LMIs constraints is formulated to design a controller which minimizes the given cost function.
First, a mixed integer nonlinear programming (MINLP) model (MINLP_Mod) is formulated to obtain a feasible solution efficiently.
The initial JBEI technoeconomic model is formulated to simulate a lignocellulosic ethanol biorefinery that uses corn stover feedstock.
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