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Automatic supervisory and control systems monitor the condition of the ropes and the drive systems.
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Supervisory control theory deals with automatic synthesis of supervisory controllers that ensure safe behavior of the supervised system, based on the models of the uncontrolled system and the (safety) control requirements.
Since William James's seminal discussion of habit, such "slips of action," in which routine responses are triggered despite being inappropriate to current intentions, have informed a distinction between relatively automatic response production and executive or supervisory control.
To execute the reliable power transfer scheme, a supervisory control is employed for the automatic smooth change over in the modes of operation depending on load and wind availability.
The supervisory control is adopted to facilitate the automatic switching.
A monitoring function is widely attributed to both working memory and to the automatic process underlying MMN [ 16], for which a supervisory attention system [ 17] and a store are essential parts [ 18].
Supervisory control can be considered a scheme by which automatic subsystems use information sensed from the physical world together with information obtained by a human operator to influence the operators' interactions in the real world via the control system (adapted from Sheridan [26]).
The proposed application approach is based on three main steps: (i) the modeling of the plant basic control and behavioral specifications in the form of automata; (ii) the automatic synthesis of modular non-conflicting supervisors using a computer tool; and (iii) the implementation of the designed supervisory control.
The automatic train control (ATC) consists of three subsystems: automatic train protection (ATP), automatic train operation (ATO) and automatic train supervisory (ATS).
The automatic PMS is implemented in a real time microcontroller and it is able to provide both the microgrid monitoring and supervisory control during grid-connected and islanded conditions and the FC power scheduling throughout various operating modes.
The model, based upon Norman and Shallice's supervisory attention system, incorporates important features of human attentional control: selection of an intended task over a more salient automatic task; priming of future tasks that are anticipated; and appropriate levels of persistence of focus of attention.
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