Online GA-based Nonlinear System Identification
Jung‐Youn Lee, Hong-Gi Lee · Journal of Korean institute of intelligent systems · 2010
Genetic algorithm is known to be an effective method to solve a global nonlinear optimization. However, a huge amount of calculation is needed to improve the dependability of the solution and thus Ga is not adequate for online implementation. In this paper, we propose an online nonlinear system identification scheme which employs population feedback genetic algorithm. The effectiveness of our scheme is shown by several simulations.