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The goal of ETS need not be only signal reconstruction, but also direct estimation of desired information in the signal by skillful design of event.
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The present paper proposes a novel method for the design of event-based controllers for the disturbance rejection in systems for which only a part of the state is measurable.
The rationale underlying the development of this approach is shown in Figure 1, in parallel with the usual practice for the design of event-specific assays detecting GM contaminants.
Finally, the design concepts of event class come from command pattern, i.e., event instance, to control system operation.
Fluidification of Petri nets (PNs) has been used for the control design of discrete event systems.
To solve this problem, a model-driven approach for facilitating user-friendly design of complex event patterns is proposed and developed in this paper.
Automata formalism has been used extensively in control design of Discrete Event Systems (DES) and, realization methodologies to implement automata that are synthesized using formal methods are needed.
The functional design of discrete event logistics systems (DELS) specifies the systems' transformative functions independently from the technology required to implement those functions.
Emphasis will be given to the interplay between the analysis use cases and the technical aspects of the architecture including the design of the event data model, transient-persistent separation, data reduction strategies, analysis tools, and ROOT interoperability.
The design of the events and the text related to each event is made with the cooperation of experts in the field of application.
The multi-layer design of composite events provides great extensibility and flexibility in different applications.
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