Comput Math Methods Med - State observer design for delayed genetic regulatory networks.

Tópicos

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Resumo

Genetic regulatory networks are dynamic systems which describe the interactions among gene products (mRNAs and proteins). The internal states of a genetic regulatory network consist of the concentrations of mRNA and proteins involved in it, which are very helpful in understanding its dynamic behaviors. However, because of some limitations such as experiment techniques, not all internal states of genetic regulatory network can be effectively measured. Therefore it becomes an important issue to estimate the unmeasured states via the available measurements. In this study, we design a state observer to estimate the states of genetic regulatory networks with time delays from available measurements. Furthermore, based on linear matrix inequality (LMI) approach, a criterion is established to guarantee that the dynamic of estimation error is globally asymptotically stable. A gene repressillatory network is employed to illustrate the effectiveness of our design approach.

Resumo Limpo

genet regulatori network dynam system describ interact among gene product mrnas protein intern state genet regulatori network consist concentr mrna protein involv help understand dynam behavior howev limit experi techniqu intern state genet regulatori network can effect measur therefor becom import issu estim unmeasur state via avail measur studi design state observ estim state genet regulatori network time delay avail measur furthermor base linear matrix inequ lmi approach criterion establish guarante dynam estim error global asymptot stabl gene repressillatori network employ illustr effect design approach

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