作者: Levente Kovacs , Gyorgy Eigner
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摘要: Tensor Product (TP) transformation based modeling and control can be useful in biomedical engineering, since complex nonlinear tasks handled easier with it. Moreover, the approach handle Linear Parameter Varying (LPV) models produces a tensor system description, which used during Matrix Inequality (LMI) controller design. The TP property makes usability of method beneficial as LMI connected techniques allows using Lyapunov theorems. aim current work is to demonstrate applications, i.e. diabetes modeling. core model, minimal model investigated simulation results are presented under Matlab.