Immune modelling and programming of a mobile robot demo

作     者：龚涛 蔡自兴 贺汉根 

作者机构：School of Information Science and Engineering Central South University College of Mechatronics and Automation National University of Defense Technology 

出 版 物：《Journal of Central South University of Technology》 (中南工业大学学报（英文版）)

年 卷 期：2006年第13卷第6期

页      面：694-698页

核心收录：

学科分类：080202[工学-机械电子工程] 08[工学] 0804[工学-仪器科学与技术] 0802[工学-机械工程] 

基　　金：Projects(60234030, 60404021) supported by the National Natural Science Foundation of China project(040125) supported by the Doctoral Research Grant of Central South University 

主　　题：artificial immune system normal model mobile robot worms 

摘      要：An artificial immune system was modelled with self/non-self selection to overcome abnormity in a mobile robot demo. The immune modelling includes the innate immune modelling and the adaptive immune modelling. The self/non-self selection includes detection and recognition, and the self/non-self detection is based on the normal model of the demo. After the detection, the non-self recognition is based on learning unknown non-self for the adaptive immunization. The learning was designed on the neural network or on the learning mechanism from examples. The last step is elimination of all the non-self and failover of the demo. The immunization of the mobile robot demo is programmed with Java to test effectiveness of the approach. Some worms infected the mobile robot demo, and caused the abnormity. The results of the immunization simulations show that the immune program can detect 100% worms, recognize all known Worms and most unknown worms, and eliminate the worms. Moreover, the damaged files of the mobile robot demo can all be repaired through the normal model and immunization. Therefore, the immune modelling of the mobile robot demo is effective and programmable in some anti-worms and abnormity detection applications.