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This paper presents a distributed diagnosis framework for physical systems with continuous behavior.
Unfortunately, planning employs discrete models, while mechatronic systems or controlled systems in general emphasize the time continuous behavior of processes.
The hybrid observer employs a focused probabilistic estimation technique to track continuous behavior interspersed with discrete mode changes.
The graphical block diagram formalism that supports continuous behavior modeling is extended by logic components that seamlessly integrate.
We note that this abrupt PL peak broadening is in contrast to the continuous behavior of the hole depth and ground-state energy (Fig. 5 a, b).
The proposed algorithm allows to consider the discrete behavior of the sectional variables for each element and the continuous behavior of the general geometry variables.
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Hybrid systems combine discrete and continuous behaviors.
The logic is highly expressive: it allows the description of continuous behaviors, by expressing mathematical constraints over derivatives, and discrete behaviors, by constraining values of variables across instantaneous transitions.
As an application, a set of functional metamodels is proposed for dataflows (usable to model continuous behaviors), state-transition systems (usable to model discrete behaviors) and a metamodel for actions (to model interactions with a target platform and concurrent execution).
We handle in an integrated way varying fault dynamics (both persistent and intermittent faults), fault progression (both abrupt and drift faults), and fault behavior cardinality (both discrete and continuous behaviors).
The development of the theory of q-calculus can be dated back to the early 20th century in order to look for a better description of the phenomena having both discrete and continuous behaviors.
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