An Agent-Based Controller for Vehicular Automation

CASIA OpenIR > 中科院工业视觉智能装备工程实验室 > 先进制造与自动化

	An Agent-Based Controller for Vehicular Automation
	Feng He; Fei-Yue Wang; Shuming Tang
	2006-09-01
会议名称	The Proceedings of the 9th IEEE International Conference on Intelligent Transportation Systems
会议录名称	IEEE INTELLIGENT SYSTEMS
会议日期	September 17-20, 2006
会议地点	Toronto, Canada
摘要	In this paper, we present a design of controller for vehicular automation based on mobile agent technology. In this approach, the control goal is conducted by coordinating active or default agents based on sensory feedback and vehicle conditions. A hosting mechanism determines which agent has the right to control the vehicle and make the decision. Those agents are divided into two groups: default agents which are developed by fuzzy rules, and active agents which are produced by neural networks. Fuzzy agents locate in the vehicle and neural network agents locate in remote server. Two types of agents have similar function but different performance, so those agents produced by neural network can transfer back to the vehicle after learning to replace default fuzzy agents according to mobile agent technology. The performance of the proposed technique is illustrated by simulation studies of a vehicle longitudinal control system
关键词	Feedback Fuzzy Control Mobile Agents Neurocontrollers Vehicles Active Agent Agent-based Controller Default Agent Fuzzy Agent Fuzzy Controller
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/41430
专题	中科院工业视觉智能装备工程实验室_先进制造与自动化
通讯作者	Feng He
推荐引用方式 GB/T 7714	Feng He,Fei-Yue Wang,Shuming Tang. An Agent-Based Controller for Vehicular Automation[C],2006.