Distributed Control of a Manufacturing System with One-Dimensional Cellular Automata
We present a distributed control modeling approach for an automated manufacturing system based on the dynamics of one-dimensional cellular automata. This is inspired by the fact that both cellular automata and manufacturing systems are discrete dynamical systems where local interactions given among...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/7235105 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832564074873880576 |
|---|---|
| author | Irving Barragan-Vite Juan C. Seck-Tuoh-Mora Norberto Hernandez-Romero Joselito Medina-Marin Eva S. Hernandez-Gress |
| author_facet | Irving Barragan-Vite Juan C. Seck-Tuoh-Mora Norberto Hernandez-Romero Joselito Medina-Marin Eva S. Hernandez-Gress |
| author_sort | Irving Barragan-Vite |
| collection | DOAJ |
| description | We present a distributed control modeling approach for an automated manufacturing system based on the dynamics of one-dimensional cellular automata. This is inspired by the fact that both cellular automata and manufacturing systems are discrete dynamical systems where local interactions given among their elements (resources) can lead to complex dynamics, despite the simple rules governing such interactions. The cellular automaton model developed in this study focuses on two states of the resources of a manufacturing system, namely, busy or idle. However, the interaction among the resources such as whether they are shared at different stages of the manufacturing process determines the global dynamics of the system. A procedure is shown to obtain the local evolution rule of the automaton based on the relationships among the resources and the material flow through the manufacturing process. The resulting distributed control of the manufacturing system appears to be heterarchical, and the evolution of the cellular automaton exhibits a Class II behavior for some given disordered initial conditions. |
| format | Article |
| id | doaj-art-a5b7a6fa1a1148e3865a6b19fcab9f50 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-a5b7a6fa1a1148e3865a6b19fcab9f502025-02-03T01:11:49ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/72351057235105Distributed Control of a Manufacturing System with One-Dimensional Cellular AutomataIrving Barragan-Vite0Juan C. Seck-Tuoh-Mora1Norberto Hernandez-Romero2Joselito Medina-Marin3Eva S. Hernandez-Gress4Engineering Department, Autonomous University of Hidalgo State, Carr. Pachuca-Tulancingo, Col. Carboneras, Mineral de la Reforma, Hidalgo 42184, MexicoEngineering Department, Autonomous University of Hidalgo State, Carr. Pachuca-Tulancingo, Col. Carboneras, Mineral de la Reforma, Hidalgo 42184, MexicoEngineering Department, Autonomous University of Hidalgo State, Carr. Pachuca-Tulancingo, Col. Carboneras, Mineral de la Reforma, Hidalgo 42184, MexicoEngineering Department, Autonomous University of Hidalgo State, Carr. Pachuca-Tulancingo, Col. Carboneras, Mineral de la Reforma, Hidalgo 42184, MexicoEngineering Department, Autonomous University of Hidalgo State, Carr. Pachuca-Tulancingo, Col. Carboneras, Mineral de la Reforma, Hidalgo 42184, MexicoWe present a distributed control modeling approach for an automated manufacturing system based on the dynamics of one-dimensional cellular automata. This is inspired by the fact that both cellular automata and manufacturing systems are discrete dynamical systems where local interactions given among their elements (resources) can lead to complex dynamics, despite the simple rules governing such interactions. The cellular automaton model developed in this study focuses on two states of the resources of a manufacturing system, namely, busy or idle. However, the interaction among the resources such as whether they are shared at different stages of the manufacturing process determines the global dynamics of the system. A procedure is shown to obtain the local evolution rule of the automaton based on the relationships among the resources and the material flow through the manufacturing process. The resulting distributed control of the manufacturing system appears to be heterarchical, and the evolution of the cellular automaton exhibits a Class II behavior for some given disordered initial conditions.http://dx.doi.org/10.1155/2018/7235105 |
| spellingShingle | Irving Barragan-Vite Juan C. Seck-Tuoh-Mora Norberto Hernandez-Romero Joselito Medina-Marin Eva S. Hernandez-Gress Distributed Control of a Manufacturing System with One-Dimensional Cellular Automata Complexity |
| title | Distributed Control of a Manufacturing System with One-Dimensional Cellular Automata |
| title_full | Distributed Control of a Manufacturing System with One-Dimensional Cellular Automata |
| title_fullStr | Distributed Control of a Manufacturing System with One-Dimensional Cellular Automata |
| title_full_unstemmed | Distributed Control of a Manufacturing System with One-Dimensional Cellular Automata |
| title_short | Distributed Control of a Manufacturing System with One-Dimensional Cellular Automata |
| title_sort | distributed control of a manufacturing system with one dimensional cellular automata |
| url | http://dx.doi.org/10.1155/2018/7235105 |
| work_keys_str_mv | AT irvingbarraganvite distributedcontrolofamanufacturingsystemwithonedimensionalcellularautomata AT juancsecktuohmora distributedcontrolofamanufacturingsystemwithonedimensionalcellularautomata AT norbertohernandezromero distributedcontrolofamanufacturingsystemwithonedimensionalcellularautomata AT joselitomedinamarin distributedcontrolofamanufacturingsystemwithonedimensionalcellularautomata AT evashernandezgress distributedcontrolofamanufacturingsystemwithonedimensionalcellularautomata |