Journal of Applied Sciences ›› 2004, Vol. 22 ›› Issue (3): 388-391.

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The Structure of the Immunocontroller Based on RBF Neural Networks

ZHANG Zheng-dao1,2, HU Shou-song1   

  1. 1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
    2. School of Communication & Control Engineering, Southern Yangtze University, Wuxi 214036, China
  • Received:2003-04-17 Revised:2003-08-28 Online:2004-09-30 Published:2004-09-30

Abstract: Basing on the course of immunity mediated by T lymphocyte, we have constructed a new controller structure based on the immune feedback mechansim of biological immune systems by simplifying the mathematical model of the immune mediated by Tlymphocyte and using the RBF neural network. We used positive feedback to simulate the process of immunologic enhancement for improving the speediness of the system and used negative feedback to simulate the process of immunological suppression for improving the stability and robustness. As a feed-forward controlled of a kind of affine nonlinear systems, the stability was proved in this paper. Computer simulation results demonstrated that the suppression ability of the controller against the system's noise is satisfactory.

Key words: immune, immunocontroller, immune feedback, robustness, RBF neural networks

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