Nonlinear system identification using memetic algorithms

In the paper a unified approach to parametric nonlinear input-output dynamic system identification based on a memetic optimisation algorithm is presented. Efficiency of the presented approach is illustrated by a simulated identification of block-oriented nonlinear input-output dynamic systems. A focus on model identification for the case of very small as well as large number of input-output measurements is given.