000147750 001__ 147750
000147750 005__ 20250103153613.0
000147750 0247_ $$2doi$$a10.1007/s10626-019-00287-9
000147750 0248_ $$2sideral$$a114102
000147750 037__ $$aART-2019-114102
000147750 041__ $$aeng
000147750 100__ $$0(orcid)0000-0002-7093-228X$$aJúlvez, Jorge$$uUniversidad de Zaragoza
000147750 245__ $$aFlexible Nets: A modeling formalism for dynamic systems with uncertain parameters
000147750 260__ $$c2019
000147750 5060_ $$aAccess copy available to the general public$$fUnrestricted
000147750 5203_ $$aThe modeling of dynamic systems is frequently hampered by a limited knowledge of the system to be modeled and by the difficulty of acquiring accurate data. This often results in a number of uncertain system parameters that are hard to incorporate into a mathematical model. Thus, there is a need for modeling formalisms that can accommodate all available data, even if uncertain, in order to employ them and build useful models. This paper shows how the Flexible Nets (FNs) formalism can be exploited to handle uncertain parameters while offering attractive analysis possibilities. FNs are composed of two nets, an event net and an intensity net, that model the relation between the state and the processes of the system. While the event net captures how the state of the system is updated by the processes in the system, the intensity net models how the speed of such processes is determined by the state of the system. Uncertain parameters are accounted for by sets of inequalities associated with both the event net and the intensity net. FNs are not only demonstrated to be a valuable formalism to cope with system uncertainties, but also to be capable of modeling different system features, such as resource allocation and control actions, in a facile manner. © 2019, The Author(s).
000147750 536__ $$9info:eu-repo/grantAgreement/EC/FP7/289126/EU/BIO knowLEDGe Extractor and Modeller for Protein Production/BIOLEDGE$$9info:eu-repo/grantAgreement/EC/FP7/623995/EU/Protein Synthesis Control by Means of Formal Models/FORMALBIO
000147750 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000147750 590__ $$a0.932$$b2019
000147750 591__ $$aMATHEMATICS, APPLIED$$b170 / 260 = 0.654$$c2019$$dQ3$$eT2
000147750 591__ $$aOPERATIONS RESEARCH & MANAGEMENT SCIENCE$$b72 / 83 = 0.867$$c2019$$dQ4$$eT3
000147750 591__ $$aAUTOMATION & CONTROL SYSTEMS$$b56 / 63 = 0.889$$c2019$$dQ4$$eT3
000147750 592__ $$a0.718$$b2019
000147750 593__ $$aElectrical and Electronic Engineering$$c2019$$dQ1
000147750 593__ $$aModeling and Simulation$$c2019$$dQ2
000147750 593__ $$aControl and Systems Engineering$$c2019$$dQ2
000147750 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000147750 700__ $$aOliver, Stephen G.
000147750 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000147750 773__ $$g29, 3 (2019), 367–392$$pDiscret. event dyn. syst.$$tDISCRETE EVENT DYNAMIC SYSTEMS-THEORY AND APPLICATIONS$$x0924-6703
000147750 8564_ $$s1283382$$uhttps://zaguan.unizar.es/record/147750/files/texto_completo.pdf$$yPostprint
000147750 8564_ $$s1337414$$uhttps://zaguan.unizar.es/record/147750/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000147750 909CO $$ooai:zaguan.unizar.es:147750$$particulos$$pdriver
000147750 951__ $$a2025-01-03-13:20:44
000147750 980__ $$aARTICLE