The supervisor module timing permits him to see the cost of the specific types of modules he is using.
A hierarchical control structure is adopted, with one supervisor module co-ordinating many independent slave controllers.
The control system includes measurement and control PLCs, a continuous power controller and a special supervisor module.
The implemented controller is of a distributed structure including measurement and control PLCs, a continuous power controller and a special supervisor module.
This is achieved by an additional component, the supervisor module, which analyzes the responses from all subsystems and modifies the degree of reliability required from each of them to accept the respective responses.
To this aim, an additional Supervisor Module analyzes the single results and, in our present implementation, modifies the degree of reliability required from each subsystem to accept its future responses.
By requesting the timing of all supervisor modules and then running segment utilization metering only during time outside the metered modules, the user can deduce the central processor time expended in each of the procedures which are part of his program.
The first, and most elaborate, of these tools is a general metering package which records time spent executing selectable supervisor modules while the system is running.
One conviction gained from experience with Multics, and earlier with CTSS, is that building permanent instrumentation into key supervisor modules is well worth the effort, since the cost of maintaining well-organized instrumentation is low, and the payoff in being able to "look at the meters" any time a performance problem is suspected or even when one is not is very high.
In effect, the discrete PN modules substitute the supervisors applied in TPN.
This module is a Fuzzy-based Supervisor composed of a dynamic parameter identification module that operates on-line, and a Fuzzy Inference System (FIS) with fuzzy rules to modify PID tuning.
