DocumentCode
2818362
Title
The feedback and adaptive control ability of the decision theoretic intelligent agent system
Author
Cao Yonghui
Author_Institution
Sch. of Econ. & Manage., Henan Inst. of Sci. & Technol., Xinxiang, China
Volume
1
fYear
2010
fDate
17-18 April 2010
Firstpage
178
Lastpage
180
Abstract
The decision-theoretic intelligent agent system has adaptive learning ability with feedback from the environment. The agent starts with a limited knowledge of the plant (environment), then it explores (samples) the plant to learn the plant´s parameters. After it learns about the plant, it takes its actions accordingly. In this paper, we introduce the intelligent agent system; then we establish the feedback control; finally, we study the adaptive control.
Keywords
adaptive control; feedback; learning (artificial intelligence); adaptive control; adaptive learning; decision theoretic intelligent agent system; feedback control; Adaptive control; Adaptive systems; Control systems; Ecosystems; Equations; Error correction; Feedback control; Intelligent agent; Output feedback; Programmable control; Adaptive Control; Decision Theoretic Intelligent; Feedback Control;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Health Networking, Digital Ecosystems and Technologies (EDT), 2010 International Conference on
Conference_Location
Shenzhen
Print_ISBN
978-1-4244-5514-0
Type
conf
DOI
10.1109/EDT.2010.5496610
Filename
5496610
Link To Document