scholarly journals An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets Approach

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 489
Author(s):  
Oz Yakrangi ◽  
Roque J. Saltarén Pazmiño ◽  
Juan S. Cely ◽  
Alejandro Rodríguez ◽  
Cecilia E. García Cena ◽  
...  
Keyword(s):  
Petri Nets ◽  
Petri Net ◽  
Production Systems ◽  
Proper Solution ◽  
Fuzzy Petri Net ◽  
Decision Making System ◽  
Fuzzy Petri Nets ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
And Control

The aim of this article is to present the fuzzy Petri net algorithm and its implementation on the Guide d’etude des modes de marche et d’arrêt (GEMMA) guide paradigm. Additionally, this article presents a brief description of the GEMMA guide paradigm, the fuzzy logic approach, the Petri nets theory, and fuzzy Petri nets. Each algorithm is intended for a specific set of transitions, depending on their essential conditions. All these algorithms generate intelligent and safe control of the GEMMA guide paradigm in order to have the best control system for the machine. Moreover, the algorithms are able to make the best decision automatically depending on the machine’s situation and condition, something that allows the machine to be placed in the appropriate mode for each situation. The results show that the different fuzzy Petri net algorithms were working properly for the GEMMA guide paradigm and provided a proper solution for the automation of production systems.

Genetic Expression Level Prediction Based on Extended Fuzzy Petri Nets

2017 ◽  
Vol 31 (10) ◽  
pp. 1750036 ◽  
Author(s):  
Xiaozhong Li ◽  
Yong Li ◽  
Ying Liu ◽  
Long Wang
Keyword(s):  
Petri Nets ◽  
Dna Sequence ◽  
Petri Net ◽  
Expression Level ◽  
Biological Research ◽  
Colored Petri Net ◽  
Typical Experiment ◽  
Fuzzy Petri Net ◽  
Fuzzy Petri Nets ◽  
Gene Regulatory

With the advances in technique for high throughput data gathering such as microarrays, DNA sequencing machines and continuous development of human genome project, the traditional physical and chemical methods have been more difficult to meet the requests of time consuming and results accuracy. Exploring and understanding the causal relationship of complex gene regulatory networks and transforming the massive data of large-scale biological research to useful biological knowledge are the present challenge. As a result, there are two typical applications both the confidence value prediction of DNA sequence and influence degree prediction of gene expression which have become the hot issues in our daily life. In this paper, two extended fuzzy Petri nets approaches are proposed, based on the existing fuzzy Petri net model, to model and analyze for the hot issues respectively. One is the fuzzy colored Petri net, which combines fuzzy Petri net with colored Petri net to model fuzzy rule-based reasoning and determine confidence values for bases called in DNA sequence. The other is extended fuzzy Petri net, which integrates reverse reasoning into fuzzy Petri net and is proposed to model gene regulatory network. It can predict the change in expression level of target based on the input expression level of activator/repressor. Compared with the method of fuzzy Petri net, the two extended fuzzy Petri nets models perform more accurately in the following typical experiment reasoning outcomes and show that the proposed methods are feasible and available.

INCOMPLETE INPUT INFERENCE ON FUZZY PRODUCTION SYSTEMS SUPPORTED BY PETRI NETS

2000 ◽  
Vol 09 (04) ◽  
pp. 537-549
Author(s):  
SHYUE-LIANG WANG ◽  
TZUNG-PEI HONG
Keyword(s):  
Computational Complexity ◽  
Petri Nets ◽  
Petri Net ◽  
Production Systems ◽  
Fuzzy Petri Net ◽  
Minimum Number ◽  
Reasoning Technique

This paper proposes a new reasoning technique on fuzzy production systems while given input knowledge is incomplete. Based on the fuzzy Petri net formalism, the proposed algorithm can infer all possible conclusions and their corresponding missing inputs. The most possible conclusion can also be determined based on the criteria of the minimum number of missing inputs as well as the degree of truth of the conclusion. In addition, finiteness and computational complexity of the algorithm is investigated. As real decisions are typically made under incomplete input knowledge, this reasoning technique provides more realistic applications for fuzzy production systems.

Some Possibilities of Modeling Colored Petri Nets

2021 ◽  
pp. 77-91
Author(s):  
Goharik Petrosyan ◽  
Armen Gaboutchian ◽  
Vladimir Knyaz
Keyword(s):  
Petri Nets ◽  
Petri Net ◽  
Optimal Allocation ◽  
Production Systems ◽  
Oriented Graph ◽  
Discrete Systems ◽  
Colored Petri Nets ◽  
Venn Diagram ◽  
Colored Petri Net ◽  
Language Class

Petri nets are a mathematical apparatus for modelling dynamic discrete systems. Their feature is the ability to display parallelism, asynchrony and hierarchy. First was described by Karl Petri in 1962 [1,2,8]. The Petri net is a bipartite oriented graph consisting of two types of vertices - positions and transitions connected by arcs between each other; vertices of the same type cannot be directly connected. Positions can be placed by tags (markers) that can move around the network. [2] Petri Nets (PN) used for modelling real systems is sometimes referred to as Condition/Events nets. Places identify the conditions of the parts of the system (working, idling, queuing, and failing), and transitions describe the passage from one state to another (end of a task, failure, repair...). An event occurs (a transition fire) when all the conditions are satisfied (input places are marked) and give concession to the event. The occurrence of the event entirely or partially modifies the status of the conditions (marking). The number of tokens in a place can be used to identify the number of resources lying in the condition denoted by that place [1,2,8]. Coloured Petri nets (CPN) is a graphical oriented language for design, specification, simulation and verification of systems [3-6,9,15]. It is in particular well-suited for systems that consist of several processes which communicate and synchronize. Typical examples of application areas are communication protocols, distributed systems, automated production systems, workflow analysis and VLSI chips. In the Classical Petri Net, tokens do not differ; we can say that they are colourless. Unlike standard Petri nets in Colored Petri Net of a position can contain tokens of arbitrary complexity, such as lists, etc., that enables modelling to be more reliable. The article is devoted to the study of the possibilities of modelling Colored Petri nets. The article discusses the interrelation of languages of the Colored Petri nets and traditional formal languages. The Venn diagram, which the author has modified, shows the relationship between the languages of the Colored Petri nets and some traditional languages. The language class of the Colored Petri nets includes a whole class of Context-free languages and some other classes. The paper shows modelling the task synchronization Patil using Colored Petri net, which can't be modeled using well- known operations P and V or by classical Petri network, since the operations P and V and classical Petri networks have limited mathematical properties which do not allow to model the mechanisms in which the process should be synchronized with the optimal allocation of resources.

Modeling and control of a nonlinear half-vehicle suspension system: a hybrid fuzzy logic approach

2011 ◽  
Vol 67 (3) ◽  
pp. 2139-2151 ◽  
Author(s):  
Ozgur Demir ◽  
Ilknur Keskin ◽  
Saban Cetin
Keyword(s):  
Fuzzy Logic ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Modeling And Control ◽  
System A ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Vehicle Suspension System ◽  
And Control

Optimization of Assembly Production Based on Imitation of Petri Nets

2021 ◽  
pp. 133-146
Author(s):  
A.N. Sochnev
Keyword(s):  
Petri Nets ◽  
Petri Net ◽  
Production Systems ◽  
Significant Degree ◽  
Practical Significance ◽  
Optimal Planning ◽  
Binary Function ◽  
Typical Situation ◽  
Branched Structure ◽  
Assembly Production

The paper describes the approach to solving the problem of optimal planning of the production process. A discrete production system represented by the operations of machining, welding and painting was chosen as the object of research. The study states the problem of optimization of assembly production, which contains a typical criterion of optimality. A mechanism for meeting the criterion using a simulation model based on a Petri net is determined. The rules for developing feedback on the state of the network model and a method for controlling the simulation of the Petri net based on the analysis of its states are given. A binary function is used to analyze the states of the model. The developed approach to process optimization develops the theory of Petri nets, makes it more suitable for modeling complex systems with a branched structure and a large number of interconnections, which is a typical situation for production systems. The most universal approaches of control theory, e.g. feedback principle, are used, which implies a significant degree of universality and replicability of the approach. On the basis of the developed theoretical provisions, a test example is presented that characterizes the effect of their application. The presence of assembly production at most mechanical-engineering enterprises determines the high practical significance of the developed approach

Petri Net Model Based Design and Control of Robotic Manufacturing Cells

2012 ◽  
pp. 393-408
Author(s):  
Gen’ichi Yasuda
Keyword(s):  
Petri Nets ◽  
Petri Net ◽  
Manufacturing Systems ◽  
Discrete Event ◽  
Manufacturing Cells ◽  
Modeling And Control ◽  
Complex Manufacturing Systems ◽  
Task Specification ◽  
And Control ◽  
The Coordinator

The methods of modeling and control of discrete event robotic manufacturing cells using Petri nets are considered, and a methodology of decomposition and coordination is presented for hierarchical and distributed control. Based on task specification, a conceptual Petri net model is transformed into the detailed Petri net model, and then decomposed into constituent local Petri net based controller tasks. The local controllers are coordinated by the coordinator through communication between the coordinator and the controllers. Simulation and implementation of the control system for a robotic workcell are described. By the proposed method, modeling, simulation, and control of large and complex manufacturing systems can be performed consistently using Petri nets.

Petri Net Model Based Design and Control of Robotic Manufacturing Cells

2013 ◽  
pp. 385-400 ◽  
Author(s):  
Gen’ichi Yasuda
Keyword(s):  
Petri Nets ◽  
Petri Net ◽  
Manufacturing Systems ◽  
Discrete Event ◽  
Manufacturing Cells ◽  
Modeling And Control ◽  
Complex Manufacturing Systems ◽  
Task Specification ◽  
And Control ◽  
The Coordinator

The methods of modeling and control of discrete event robotic manufacturing cells using Petri nets are considered, and a methodology of decomposition and coordination is presented for hierarchical and distributed control. Based on task specification, a conceptual Petri net model is transformed into the detailed Petri net model, and then decomposed into constituent local Petri net based controller tasks. The local controllers are coordinated by the coordinator through communication between the coordinator and the controllers. Simulation and implementation of the control system for a robotic workcell are described. By the proposed method, modeling, simulation, and control of large and complex manufacturing systems can be performed consistently using Petri nets.

Modelling and control of manufacturing systems using fuzzy petri nets

1991 ◽  
Vol 24 (14) ◽  
pp. 132-137
Author(s):  
G. Sotirov ◽  
S. Doichinov ◽  
D. Stefanov
Keyword(s):  
Petri Nets ◽  
Manufacturing Systems ◽  
Fuzzy Petri Nets ◽  
And Control

scholarly journals New Software Tool for Modeling and Control of Discrete-Event and Hybrid Systems Using Timed Interpreted Petri Nets

2020 ◽  
Vol 10 (15) ◽  
pp. 5027 ◽  
Author(s):  
Erik Kučera ◽  
Oto Haffner ◽  
Peter Drahoš ◽  
Ján Cigánek ◽  
Roman Leskovský  ◽  
...  
Keyword(s):  
Petri Nets ◽  
Hybrid Systems ◽  
Industry 4.0 ◽  
Discrete Event Systems ◽  
Production Systems ◽  
Discrete Event ◽  
Software Tool ◽  
Modeling And Control ◽  
Event Systems ◽  
And Control

For the development of modern complex production processes in Industry 4.0, it is appropriate to effectively use advanced mathematical models based on Petri nets. Due to their versatility in modeling discrete-event systems, Petri nets are an important support in creating new platforms for digitized production systems. The main aim of the proposed article is to design a new software tool for modeling and control of discrete-event and hybrid systems using Arduino and similar microcontrollers. To accomplish these tasks, a new tool called PN2ARDUINO based on Petri nets is proposed able to communicate with the microcontroller. Communication with the microcontroller is based on the modified Firmata protocol hence, the control algorithm can be implemented on all microcontrollers that support this type of protocol. The developed software tool was successfully verified in control of laboratory systems. In addition, it can be used for education and research purposes as it offers a graphical environment for designing control algorithms for hybrid and mainly discrete-event systems. The proposed software tool can improve education and practice in cyber-physical systems (Industry 4.0).

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