Titlebook: Discrete Event Systems; Analysis and Control R. Boel,G. Stremersch Book 2000 Springer Science+Business Media Dordrecht 2000 Analysis.Model

troponins

A General Architecture for Decentralized Supervisory Control of Discrete-Event Systems supervisors can be “fused” using both union and intersection of enabled events. Namely, the supervisors agree a . on choosing “fusion by union” for certain controllable events and “fusion by intersection” for certain other controllable events. We show that under this generalized architecture, a lar

吹牛需要藝術(shù)

Reduced Supervisors for Timed Discrete-Event Systemsem we compute a reduced supervisor based on an abstraction of the plant model in which time is measured with a slower clock. Such a model is simpler than the original, but has richer untimed behavior. Thus, an untimed specification met by the closed-loop reduced system is also met by the original sy

動(dòng)機(jī)

Offbeat

An Iterative Method for Deadlock Prevention in FMSt was based on an iterative method, using the structure of the Petri net model. Here we present two things; first, we improve the algorithm which establishes the control; second, we present some experimental results which try to compare a few control methods from the perspective of their “permissivi

進(jìn)取心

逃避現(xiàn)實(shí)

On Partially Controlled Free Choice Petri Netsriate conditions, a non-. PN can be made . via supervision. Under this paradigm an external-agent, the supervisor, prevents the firing of certain transitions at each reachable marking so as to enforce liveness. A PN is . if the supervisor can prevent the firing of only a subset of transitions. . (FC

Radiation

Closed-Loop Live Petri Net Supervisors for GMEC(GMECs) enforced by monitor places. This leads to a problem which is very interesting in practice, but difficult even for the restricted class of marked graphs (MGs). We obtain two sufficient conditions that guarantee liveness of a MG plant with uncontrollable transitions, controlled by a monitor. A

外表讀作

GULLY

https://doi.org/10.1007/978-3-658-05709-1e of the . parameters. In the particular case where the expected performance is differentiable, sensitivity analysis deals with the estimation of . of the expected performance with respect to some parameter of interest, called the ..

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