基于RBF神经网络的免疫控制器结构

从T细胞介导的免疫过程出发，通过对其数学模型的简化，利用RBF神经网络构造了一种基于生物系统免疫反馈机理的控制器．该控制器以正反馈模拟免疫激励，提高了系统的快速性；以负反馈模拟免疫抑制，增强了系统的稳定性和鲁棒性．文中对于一类仿射非线性系统证明了其作为控制器时的系统闭环稳定性．仿真实验表明，该控制器对系统的噪声具有很好的抑制能力．

The Structure of the Immunocontroller Based on RBF Neural Networks

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.