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Research of a kind of improved immune controller based immune network

Hongwei Mo (College of Automation, Harbin Engineering University, Harbin, China)
Dongmei Fu (School of Information and Engineering, University of Science and Technology, Beijing, China)
Lifang Xu (Engineering Training Center, Harbin Engineering University, Harbin, China)

International Journal of Intelligent Computing and Cybernetics

ISSN: 1756-378X

Article publication date: 8 June 2010

239

Abstract

Purpose

The purpose of this paper is to verify that improved immune network can be used to design new controller for engineering.

Design/methodology/approach

First, the definition of artificial immune controller is given out. Second, the disadvantage of Varela immune network which is not fit for control system is pointed out. Third, based on the analysis, the Varela immune network is modified for the purpose of designing controller with the mechanisms of immune network. And an immune controller based on improved Varela immune network (improved Varela immune network model (IVINM)‐AIC) is designed out. Its theoretic background is described in detail.

Findings

Based on the theoretic analysis and experiment of motor speed control, it is found that Varela immune work can be used to design immune controller. The experiments results show that IVINM‐AIC is much more robust, stable and anti‐delay and less overshoot than classical proportion, integration, and differentiation controller. It is good at controlling nonlinear system which is single input single output (SISO) system. The limitation of IVINM‐AIC is that it is used for simple SISO system.

Originality/value

The theoretic analysis of improved Varela immune network controller is original and it is useful for the analysis and design of new and complex immune controller. The experiment design is useful for comparison of new test in future.

Keywords

Citation

Mo, H., Fu, D. and Xu, L. (2010), "Research of a kind of improved immune controller based immune network", International Journal of Intelligent Computing and Cybernetics, Vol. 3 No. 2, pp. 310-333. https://doi.org/10.1108/17563781011049223

Publisher

:

Emerald Group Publishing Limited

Copyright © 2010, Emerald Group Publishing Limited

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