Notice of Removal: Intelligent control using online stability-based knowledge representation

In this paper,a new concept for intelligent control of stability in technical systems is proposed based upon the Situation-Operator-Model-based cognitive architecture of autonomous system.The novelty of the proposed method is that the controller can accomplish the task of control without knowing the detailed structure of the system plant,nor its physical behavior, because all the information needed in the control are gained by studying the phase portrait during the interaction process between the system and the environment,with the help of the static knowledge about the stability and the goal of control.Furthermore,the performance of the control is improved according to the experiences of the controller which are gained by the cognitive functions and stored in the learned knowledge base.These two features are realized within the framework built up by Situation-Operator-Model approach to represent the reality.An example of stabilizing a pendulum with unknown impulse disturbances is utilized to illustrate the approach.