Displaying similar documents to “Efficient algorithms for solving nonlinear Volterra integro-differential equations with two point boundary conditions.”

Nonlinear system identification with a real-coded genetic algorithm (RCGA)

Imen Cherif, Farhat Fnaiech (2015)

International Journal of Applied Mathematics and Computer Science

Similarity:

This paper is devoted to the blind identification problem of a special class of nonlinear systems, namely, Volterra models, using a real-coded genetic algorithm (RCGA). The model input is assumed to be a stationary Gaussian sequence or an independent identically distributed (i.i.d.) process. The order of the Volterra series is assumed to be known. The fitness function is defined as the difference between the calculated cumulant values and analytical equations in which the kernels and...