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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Clepner Kerik, Julio Bernardo | - |
dc.date.accessioned | 2014-09-10T18:23:44Z | - |
dc.date.available | 2014-09-10T18:23:44Z | - |
dc.date.issued | 2010 | - |
dc.identifier.other | 10.2478/v10006-010-0026-2 | - |
dc.identifier.uri | http://www.repositoriodigital.ipn.mx/handle/123456789/19983 | - |
dc.description.abstract | We provide a framework for hierarchical specification called Hierarchical Decision Process Petri Nets (HDPPNs). It is an extension of Decision Process Petri Nets (DPPNs) including a hierarchical decomposition process that generates less complex nets with equivalent behavior. As a result, the complexity of the analysis for a sophisticated system is drastically reduced. In the HDPPN, we represent the mark-dynamic and trajectory dynamic properties of a DPPN. Within the framework of the mark-dynamic properties, we show that the HDPPN theoretic notions of (local and global) equilibrium and stability are those of the DPPN. As a result in the trajectory-dynamic properties framework, we obtain equivalent characterizations of that of the DPPN for final decision points and stability. We show that the HDPPN mark-dynamic and trajectory-dynamic properties of equilibrium, stability and final decision points coincide under some restrictions. We propose an algorithm for optimum hierarchical trajectory planning. The hierarchical decomposition process is presented under a formal treatment and is illustrated with application examples. | es |
dc.description.sponsorship | Instituto Politécnico Nacional. CIECAS | es |
dc.language.iso | en | es |
dc.publisher | International Journal of applied mathematics and computer science, Vol. 20, No. 2 | es |
dc.subject | Hierarchy | es |
dc.subject | Decomposition | es |
dc.subject | Structuring mechanisms | es |
dc.title | A HIERARCHICAL DECOMPOSITION OF DECISION PROCESS PETRI NETS FOR MODELING COMPLEX SYSTEMS | es |
dc.type | Article | es |
dc.description.especialidad | Matemáticas | es |
dc.description.tipo | es | |
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