Least squares identification method for differential equations of gene regulatory networks

This paper transforms a differential equation model of a gene regulatory network into a discrete equation by using the explicit Euler method. A recursive least squares algorithm is presented to generate the parameter estimates by replacing the unknown true outputs with their estimates. The simulation results indicate that the proposed algorithm is effective and is of a high estimation accuracy.