Finite-time state observer for delayed reaction-diffusion genetic regulatory networks

This paper focus is concerned with the finite-time state estimation problem for delayed reaction-diffusion genetic regulatory networks (DRDGRNs) under Dirichlet boundary conditions. The aim of this paper is to design a finite-time state observer which is used to estimate the concentrations of mRNAs and proteins via available measurement outputs. By constructing a Lyapunov-Krasovskii functional (LKF) concluding quad-slope integrations, we establish a reaction-diffusion-dependent and delay-dependent finite-time stability criterion for the error system. The derivative of LKF is estimated by employing the Wirtinger-type integral inequality, Gronwall inequality and convex (reciprocally convex) technique. In addition, the expected finite-time state observer gain matrices can be represented by a feasible solution of the set of LMIs. Finally, a numerical example is presented to illustrate the effectiveness of the theoretical results.

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