Abstract: In this study, a novel non-linear system identification procedure is established using the structures of the Artificial Immune System (AIS). The high order non-linear 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 systems parameters simultaneously. To confirm and validate the effectiveness of the proposed algorithm, a simulation example on high order non-linear 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 systems characteristics for solving the system problem and optimizing the output signals.
Dhurgham A. Mohammed, Haitham Ali Hussain and Radhwan Hussein Abdulzhraa Al-Sagheer, 2018. New Approach of Intelligent Technique to Optimize Artificial Immune Algorithm for High Performance of High Order Non-linear System. Journal of Engineering and Applied Sciences, 13: 2799-2802.