Multi-agent Based System Architecture for Agile Manufacturing System and Its Learning Algorithm with CMAC (Cerebellar Model Articulation Controller)
As the world market is becoming increasingly dynamic and intense, manufacturing enterprises require responsive manufacturing systems which having ability to response rapidly to dynamic changes, to satisfied customer needs. Multi-agent system is used to model manufacturing system in this paper. A multi-agent system based system architecture for agile manufacturing systems which include agent architectures, communication interface between agents in the manufacturing system, agent data module, knowledge module for multi-agent system and sensory input and output controller are proposed. A agent learning model and its mapping algorithm for CMAC (Cerebellar Model Articulation Controller) are presented to make the agent system have self learning ability. Simulation result shows that the model and the solution are effective to the manufacturing system.
Fuqing Zhao Yahong Yang
School of Computer and Communication,Lanzhou University of Technology,Lanzhou Gansu 730050 P.R.China School of Civil Engineering,Lanzhou University of Technology,Lanzhou Gansu 730050 P.R.China
国际会议
2009 IEEE International Conference on Information and Automation(2009年 IEEE信息与自动化国际学术会议)
珠海、澳门
英文
1205-1210
2009-06-22（万方平台首次上网日期，不代表论文的发表时间）