DocumentCode :
2643098
Title :
An Agent-Based Controller for Vehicular Automation
Author :
He, Feng ; Wang, Fei-Yue ; Tang, Shuming
Author_Institution :
Key Lab. for Complex Syst. & Intelligence Sci., Chinese Acad. of Sci., Beijing
fYear :
2006
fDate :
17-20 Sept. 2006
Firstpage :
771
Lastpage :
776
Abstract :
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
Keywords :
feedback; fuzzy control; mobile agents; neurocontrollers; vehicles; active agent; agent-based controller; default agent; fuzzy agent; fuzzy controller; fuzzy rules; mobile agent; neural network controller; sensory feedback; vehicle condition; vehicular automation; Automatic control; Communication system control; Design automation; Fuzzy control; Fuzzy neural networks; Intelligent transportation systems; Mobile agents; Neural networks; Road transportation; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems Conference, 2006. ITSC '06. IEEE
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0093-7
Electronic_ISBN :
1-4244-0094-5
Type :
conf
DOI :
10.1109/ITSC.2006.1706835
Filename :
1706835
Link To Document :
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