Controller synthesis method for Discrete Event Systems
Many applications contain plants that are Discrete Events Systems (DES). They have to be controlled such that DES fulfills some specifications like: avoid the deadlocks, reach or avoid the reaching of some given states, execute or avoid the execution of some given sequences of events, execute cyclic...
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creator | Letia, T. S. Hulea, M. Cuibus, O. |
description | Many applications contain plants that are Discrete Events Systems (DES). They have to be controlled such that DES fulfills some specifications like: avoid the deadlocks, reach or avoid the reaching of some given states, execute or avoid the execution of some given sequences of events, execute cyclically sequences of events with the shortest periods, etc. In the current study the plants are modeled by Delay Time Petri Nets (DTPN) and the controllers are Time Petri Nets (TPN) models. The controllers can be described by a particular Time Petri Net Language (TPNL). The TPNL descriptions can be transformed into Lisp descriptions. The latest are used by a Genetic Programming (GP) method for the controller synthesis such that DES meets most accurately the system requirements. |
doi_str_mv | 10.1109/AQTR.2012.6237680 |
format | Conference Proceeding |
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The latest are used by a Genetic Programming (GP) method for the controller synthesis such that DES meets most accurately the system requirements.</description><subject>Delay</subject><subject>Economic indicators</subject><subject>Genetic algorithms</subject><subject>Genetics</subject><subject>Petri nets</subject><subject>Programming</subject><subject>System recovery</subject><isbn>1467307017</isbn><isbn>9781467307017</isbn><isbn>1467307033</isbn><isbn>9781467307031</isbn><isbn>9781467307048</isbn><isbn>1467307041</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFj81KAzEUhSMiqLUPIG7yAjMmuZl7Z5ZlrFUoiDr7kunc0JH5kSQIfXsLFjybw7c5fEeIe61yrVX1uHpvPnKjtMnRAGGpLsSttkigSAFc_oOma7GM8UudQrZCsDcC63lKYR4GDjIep3Tg2Ec5cjrMnfRzkE993AdOLNc_PCX5eYyJx3gnrrwbIi_PvRDN87qpX7Lt2-a1Xm2zvlIpQw2ggDoDSK5tnbLIpD2yNYXzhXOFJSKjyZetPylqZ9u2Ku0eDWHFHSzEw99sz8y779CPLhx355vwC5plRZ4</recordid><startdate>201205</startdate><enddate>201205</enddate><creator>Letia, T. 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S.</creatorcontrib><creatorcontrib>Hulea, M.</creatorcontrib><creatorcontrib>Cuibus, O.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Letia, T. S.</au><au>Hulea, M.</au><au>Cuibus, O.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Controller synthesis method for Discrete Event Systems</atitle><btitle>Proceedings of 2012 IEEE International Conference on Automation, Quality and Testing, Robotics</btitle><stitle>AQTR</stitle><date>2012-05</date><risdate>2012</risdate><spage>85</spage><epage>90</epage><pages>85-90</pages><isbn>1467307017</isbn><isbn>9781467307017</isbn><eisbn>1467307033</eisbn><eisbn>9781467307031</eisbn><eisbn>9781467307048</eisbn><eisbn>1467307041</eisbn><abstract>Many applications contain plants that are Discrete Events Systems (DES). They have to be controlled such that DES fulfills some specifications like: avoid the deadlocks, reach or avoid the reaching of some given states, execute or avoid the execution of some given sequences of events, execute cyclically sequences of events with the shortest periods, etc. In the current study the plants are modeled by Delay Time Petri Nets (DTPN) and the controllers are Time Petri Nets (TPN) models. The controllers can be described by a particular Time Petri Net Language (TPNL). The TPNL descriptions can be transformed into Lisp descriptions. The latest are used by a Genetic Programming (GP) method for the controller synthesis such that DES meets most accurately the system requirements.</abstract><pub>IEEE</pub><doi>10.1109/AQTR.2012.6237680</doi><tpages>6</tpages></addata></record> |
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subjects | Delay Economic indicators Genetic algorithms Genetics Petri nets Programming System recovery |
title | Controller synthesis method for Discrete Event Systems |
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