There are known two kinds of behavior of the closed control loop: the setpoint behavior, which occurs without disturbances, and disturbance behavior, when only disturbances and no set point are applied. The classical control theory threats both kinds of behaviors in the same way using the same controller. The disadvantage is that the majority of the controller are optimally designed for setpoint behavior and not optimal by the disturbance behavior because the place of disturbances entered in the loop is usually not known. The Data Stream Management considers the setpoint behavior as CLIMB of the controlled variable to the target point, while the disturbance behavior is to HOLD the actuating variable by the needed value independent of place and kind of external or internal disturbances. In this chapter are presented Data Stream Managers developed for CLIMB-mode upon known methods like neuro-fuzzy and upon new approaches like Overset and Surf-Feedback Control.


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