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Hybrid systems combine 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.
The time scales approach not only unifies differential and difference equations, but also solves some other problems such as a mix of stop-start and continuous behaviors [2, 3] powerfully.
Efficacy, which refers to people's confidence in their capabilities to carry out tasks well, has been proposed as an important cognitive factor that can be affected by social environments as well as influence continuous behaviors.
The modeling, analysis and design of systems is generally based on many formalisms to describe discrete and/or continuous behaviors, and to map these descriptions into a specific platform.
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).
Similar(50)
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 graphical block diagram formalism that supports continuous behavior modeling is extended by logic components that seamlessly integrate.
The hybrid observer employs a focused probabilistic estimation technique to track continuous behavior interspersed with discrete mode changes.
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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