الخلاصة

In this paper, a novel non-linear system identification procedure is established using the structures of the artificial immune system AIS. The high order nonlinear system has many difficulties such as need high computation time, slow response, and has more oscillation with high steady state error. In order to resolve these problems, a simplified method for AIS combined with immediate feedback mechanism is suggested to optimize the system's parameters simultaneously. To confirm and validate the effectiveness of the proposed algorithm, a simulation example on high order nonlinear system based on AIS was studied. This intelligent algorithm realized robustness system with high efficiency by optimizing the complex high order non-linear systems. The simulation results show that the recognized immune models are robust to noise of the system dynamics. The algorithms are naturally modelled after the immune system's characteristics for solving the system problem and optimizing the output signals.