scholarly journals A Comparative Analysis of Recent Identification Approaches for Discrete-Event Systems

2010 ◽  
Vol 2010 ◽  
pp. 1-21 ◽  
Author(s):  
Ana Paula Estrada-Vargas ◽  
Ernesto López-Mellado ◽  
Jean-Jacques Lesage
Keyword(s):  
Mathematical Model ◽  
Comparative Analysis ◽  
Dynamical Systems ◽  
Discrete Event Systems ◽  
Discrete Event ◽  
Event Systems ◽  
Systems Identification ◽  
Unknown System ◽  
The Mathematical Model ◽  
Inputs And Outputs

Analogous to the identification of continuous dynamical systems, identification of discrete-event systems (DESs) consists of determining the mathematical model that describes the behaviour of a given ill-known or eventually unknown system from the observation of the evolution of its inputs and outputs. First, the paper overviews identification approaches of DES found in the literature, and then it provides a comparative analysis of three recent and innovative contributions.

scholarly journals Efficient Method to Fault Identification, Based on Grouping Components, for Industrial Processes

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Comparative Analysis ◽  
Efficient Method ◽  
Discrete Event Systems ◽  
Discrete Event ◽  
System Model ◽  
Industrial Processes ◽  
Fault Identification ◽  
Plant Model ◽  
Event Systems ◽  
Novel Method

In this paper we present a novel method for fault identification in Discrete Event Systems, which was developed using the classical diagnoser method. Our goal was to decrease as much as possible the amount of computation that needs to be done to generate a diagnoser and to use it for isolating faults. The proposed method consists in grouping the components of the plant in several types and to generate the plant model, the system model and the diagnoser for the “grouped plant”. In this way the size of the automata is reduced. The method is presented and tested on a loading station in a comparative analysis with the method without grouping

scholarly journals Mathematical modelling of aeronautical environment

2020 ◽  
Vol 23 (5) ◽  
pp. 67-75
Author(s):  
D. E. Eshmuradov ◽  
T. D. Elmuradov
Keyword(s):  
Mathematical Model ◽  
Flight Control ◽  
Discrete Event Systems ◽  
Discrete Event ◽  
Geometric Representation ◽  
Basic Information ◽  
New Models ◽  
The Mathematical Model ◽  
Specific Volumes

On the basis of the study of air flight control, as well as the need to take into account the regional parameters of the airspace, the expediency and the need for mathematical modeling of the air navigation environment were identified. The article deals with the features of the model of air navigation environment, in which the base of the study adopted the basic information used to describe the plan for the execution of air flight. In the study, it was found that in navigation main feature is the geodesic of abstraction, however, such information was found, is not complete for the plan for air flight. The study emphasized the role of taking into account all the restrictions by which certain prohibitions on the use of specific volumes of airspace are imposed. Based on the results obtained, a graph of the geometric representation of the airspace with constraints was constructed. The results of the study allow us to conclude that the construction of a mathematical model of the air navigation environment allows us to achieve the following results: optimization of the distribution of the EAP loads by sectors, visualization of the air navigation situation in the region, the establishment of critical load directions, the collection of data on the load, the study of the factor effects on the regularity and safety of the aircraft movement. The mathematical model of the aeronautical situation was built with the help of a composition of hierarchical type. As a result of such construction of mathematical model its transformation with addition of new models is possible. Using the proposed mathematical model in the framework of discrete event systems can be used to simulate complex air navigation environment with a large number of aircraft. The use of the formalism presented in this study allows a clear distinction between the mechanism of information processing and the information itself in the process of modeling.

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