CASIA OpenIR  > 智能制造技术与系统研究中心  > 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
Conference NameThe Proceedings of the 9th IEEE International Conference on Intelligent Transportation Systems
Source PublicationIEEE INTELLIGENT SYSTEMS
Conference DateSeptember 17-20, 2006
Conference PlaceToronto, Canada
AbstractIn 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
KeywordFeedback Fuzzy Control Mobile Agents Neurocontrollers Vehicles Active Agent Agent-based Controller Default Agent Fuzzy Agent Fuzzy Controller
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12399
Collection智能制造技术与系统研究中心_先进制造与自动化
Corresponding AuthorFeng He
Recommended Citation
GB/T 7714
Feng He,Fei-Yue Wang,Shuming Tang. An Agent-Based Controller for Vehicular Automation[C],2006.
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