Learning systems with control situations recognition

Abstract The application of recognition techniques to the control of processes with incomplete apriori information is discussed. The proposed structure is found to contain two subsystems: a learning controller acting as a control situations recognition system and a learning predictor having the role of an output situations recognition system. Finally the off- and on-line learning controller implementations are presented together with some design considerations.