DocumentCode
2484822
Title
Strategy and implementing of humanoid intelligent control
Author
Zhu, Honghui ; Pi, Wenbo ; Chen, Dingfang
Author_Institution
Sch. of Logistic Eng., Wuhan Univ. of Technol., Wuhan
fYear
2008
fDate
25-27 June 2008
Firstpage
3093
Lastpage
3097
Abstract
The paper, in the basis of studying the humanoid intelligent control basic model, proposed the multi-agent level hierarchical structure model, in detail introduced the control system characteristic vector extraction, the system dynamic characteristic pattern and the classified method, the characteristic pattern and the control strategy mapping relations. Then, the thesis discussed the multi-agent cooperation question of affecting the control strategy realization, proposed the multi-agent information interactive pattern based on the blackboard-actuated, constructs the mix medium self-organization network topology for supporting cooperation, carried on the introduction to the network automatic construction and the network self-renovating method when network be interrupting. The presented the humanoid intelligent control strategy and the realization method, can provide the theory support and the realization tool for developing the humanoid intelligent control system.
Keywords
humanoid robots; intelligent control; multi-robot systems; control system characteristic vector extraction; humanoid intelligent control; mix medium self-organization network topology; multiagent information interactive pattern; multiagent level hierarchical structure model; Automatic control; Automation; Control system synthesis; Data mining; Electronic mail; Intelligent control; Intelligent systems; Logistics; Network topology; Paper technology; control strategy; humanoid intelligence; implementing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4593415
Filename
4593415
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