The Study of Artificial Endocrine Network Model and its Application in Robot Navigation Control
Relative stability of the internal environment is the basis for the bodys all intelligent activities, and the endocrine system plays an irreplaceable role in maintaining that stability.Based on the selforganization mechanism of the hormone reaction diffusion in the endocrine system, this paper presents the artificial endocrine network model and the model-based learning algorithm.The model depends on the diffusion of artificial hormones and its reaction with suitable receptors to achieve the dynamic balance control of the artificial endocrine network.In order to validate the feasibility of the model and algorithm, this paper makes a simulation experiment of robotic navigation control, whose results also show that the model and its algorithm has good adaptive solving ability.
artifial endocrine network endocrine regulation reaction diffusion robot control
Huang Guorui Zhan Yanmou Cheng Xu Wu Huaqiang Li hao
New Star Research Institute of Applied Technology,Hefei,230031,China The Forty third Research Institute of China Electronics Technology Group Corporation
国际会议
厦门
英文
685-689
2011-07-08(万方平台首次上网日期,不代表论文的发表时间)