The Feedback and Adaptive Control Ability of the Decision Theoretic Intelligent Agent System

摘要：

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 plants 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.

作者: CAO Yonghui

作者单位: School of Economics & Management Henan Institute of Science and Technology Xinxiang, China

会议类型: 国际会议

会议名称: 2010 International Conference on E-Health Networking,Digital Ecosystems and Techonlogies(2010电子健康网络、数字生态系统和技术国际会议 EDT 2010)

会议地点: 深圳

会议语种:英文

页码: 178-180

在线出版日期: 2010-04-17（万方平台首次上网日期，不代表论文的发表时间）