The feedback and adaptive control ability of the decision theoretic intelligent agent system

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.