147750 20250103153613.0 doi 10.1007/s10626-019-00287-9 sideral 114102 ART-2019-114102 eng Júlvez, Jorge Universidad de Zaragoza (orcid)0000-0002-7093-228X Flexible Nets: A modeling formalism for dynamic systems with uncertain parameters 2019 The 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). Access copy available to the general public Unrestricted info:eu-repo/grantAgreement/EC/FP7/289126/EU/BIO knowLEDGe Extractor and Modeller for Protein Production/BIOLEDGE info:eu-repo/grantAgreement/EC/FP7/623995/EU/Protein Synthesis Control by Means of Formal Models/FORMALBIO info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 0.932 2019 MATHEMATICS, APPLIED 170 / 260 = 0.654 2019 Q3 T2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 72 / 83 = 0.867 2019 Q4 T3 AUTOMATION & CONTROL SYSTEMS 56 / 63 = 0.889 2019 Q4 T3 0.718 2019 Electrical and Electronic Engineering 2019 Q1 Modeling and Simulation 2019 Q2 Control and Systems Engineering 2019 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Oliver, Stephen G. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 29, 3 (2019), 367–392 Discret. event dyn. syst. DISCRETE EVENT DYNAMIC SYSTEMS-THEORY AND APPLICATIONS 0924-6703 1283382 http://zaguan.unizar.es/record/147750/files/texto_completo.pdf Postprint 1337414 http://zaguan.unizar.es/record/147750/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:147750 articulos driver 2025-01-03-13:20:44 ARTICLE