TY  - JOUR
T1  - New Approach of Intelligent Technique to Optimize Artificial Immune
Algorithm for High Performance of High Order Non-linear System
AU - A. Mohammed, Dhurgham AU - Ali Hussain, Haitham AU - Hussein Abdulzhraa Al-Sagheer, Radhwan 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 9
SP  - 2799
EP  - 2802
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.2799.2802
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.2799.2802
KW  - Artificial Immune System (AIS)
KW  -high order non-linear system
KW  -MATLAB Simulink
KW  -parameters
KW  -robustness
KW  -feedback mechanism
AB  - 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 system’s 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 system’s characteristics for solving the system problem and
optimizing the output signals.
ER  -