Title :
An Intelligent Controller Based on Fuzzy Target Acquired by Reinforcement-learning
Author_Institution :
Dept. of Intelligent Interaction Technol., Tsukuba Univ.
Abstract :
The cooperation system operated with the human and the computer is important. In this paper, the fuzzy target knowledge that decides the auxiliary target to reach the final goal by the reinforced learning is acquired. An intelligent cooperated control system that decides the control instruction based on this fuzzy target and the driving knowledge is proposed. The human easily understands the response to the change in the situation of this intelligent control system. The simulation result showed that the system used the fuzzy knowledge acquired by this reinforcement learning was able to achieve a flexible driving in cooperation with the human
Keywords :
automated highways; automobiles; cooperative systems; fuzzy control; intelligent control; knowledge acquisition; learning (artificial intelligence); automatic car driving; fuzzy target knowledge acquisition; intelligent cooperated control system; reinforcement-learning; Control systems; Electrical capacitance tomography; Fuzzy control; Fuzzy systems; Humans; Intelligent control; Intelligent systems; Learning systems; Nonlinear control systems; Vehicles; Fuzzy Control; Fuzzy Target; Intelligent Control; Reinforcement-learning; Vehicle Operation;
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
DOI :
10.1109/SICE.2006.315141
