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In the case of failure, the monitoring controller is notified about the crash.
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In this case, the monitoring controllers are subscribers and the monitoring agents are publishers.
Then using the fault information provided by the monitoring module, the controller is reconfigured after fault detection and isolation, respectively, to compensate the effects of the fault.
The information sent by the monitor to the controller is called feedback, and on the basis of this feedback the controller might issue instructions to bring the observed behaviour (the reach of the hand) closer to the desired behaviour (the picking up of the object).
This way the role of ATC alerts in restricting the risk becomes clearer in cases where the controller is not actively monitoring the traffic situation visually (e.g. cases C3, C7, C11, and C15).
The charge controller is added to monitor the battery voltage and manage charging intervals.
The dual controller is able to monitor and predict the base station's performance and assign a time window to each user based on specific requirements.
To allow for a level of flexibility against variations, an automatic controller is added to monitor and adjust the process.
A high-level supervisory controller is proposed to monitor system response and switch between low-level robust controllers with different levels of risk and perfonnance.
Secondly, we leverage the GP-based prediction mechanism for the CQI assignment problem, in which a base station controller is able to monitor the behaviour of each served user and assign a personalised prediction time window based on that user's performance and requirements.
For in-pipe domestic monitoring, direct connection of sensors and controller is preferred.
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