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The participants stated that they developed knowledge about the modelling approach during the course of the project and this was supported by data from the observation and field notes.
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This algorithm bypasses the requirement of detailed knowledge about the models discretization to generate numerical error estimates.
This naturally leads to the Model Predictive Control (MPC) planning strategy, which uses the updated knowledge about the model to solve a finite horizon optimal control problem at each time step and only executes the first control action.
The study shows that hierarchical BMA analysis helps in advancing knowledge about the model rather than forcing the model to fit a particularly understanding or merely averaging several candidate models.
However, knowledge about the model is far from enough.
Once we have knowledge about the model, this knowledge has to be 'translated' into knowledge about the target system.
Such arbitrary data injection attack does not require a previous knowledge about the models of the plant and its controller.
The literature regarding attacks in Networked Control Systems (NCS) indicates that covert and accurate attacks must be designed based on an accurate knowledge about the model of the attacked system.
In their work, it is stated that the design of covert attacks requires a high level of knowledge about the model of the attacked system.
In the sampling step, knowledge about the model information or the high likelihood region can be reflected in the construction of proposal distribution.
In this context, recent studies demonstrate the development of a set of sophisticated attacks that, to achieve a high level of covertness and accuracy, rely on the knowledge about the model of the attacked system.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com