04880nam 22012373a 450 991036775790332120250203235432.09783039214563303921456X10.3390/books978-3-03921-456-3(CKB)4100000010106138(oapen)https://directory.doabooks.org/handle/20.500.12854/57069(ScCtBLL)690f0a26-ca48-42b6-8842-b0e944519c88(OCoLC)1163829433(EXLCZ)99410000001010613820250203i20192019 uu engurmn|---annantxtrdacontentcrdamediacrrdacarrierProcess Modelling and SimulationJose Luis Pitarch, Cesar De Prada, Costas PantelidesBasel, Switzerland :MDPI,2019.1 electronic resource (298 p.)9783039214556 3039214551 Since process models are nowadays ubiquitous in many applications, the challenges and alternatives related to their development, validation, and efficient use have become more apparent. In addition, the massive amounts of both offline and online data available today open the door for new applications and solutions. However, transforming data into useful models and information in the context of the process industry or of bio-systems requires specific approaches and considerations such as new modelling methodologies incorporating the complex, stochastic, hybrid and distributed nature of many processes in particular. The same can be said about the tools and software environments used to describe, code, and solve such models for their further exploitation. Going well beyond mere simulation tools, these advanced tools offer a software suite built around the models, facilitating tasks such as experiment design, parameter estimation, model initialization, validation, analysis, size reduction, discretization, optimization, distributed computation, co-simulation, etc. This Special Issue collects novel developments in these topics in order to address the challenges brought by the use of models in their different facets, and to reflect state of the art developments in methods, tools and industrial applications.polyacrylonitrile-based carbon fibercoagulation bathbinder dissolutionsensitivity analysissimulationneural networkskernel developmentthermodynamicsphytochemicalswave resonancenatural extractspopulation balance modeloptimizationvaneparameter estimationgrey-box modelobservabilityoptimal clusteringenergyidling testdata-miningextentscomputational fluid dynamicsscrap dissolutionCombined Heat and Powerdynamic optimizationscrap meltingswellingengineeringdry-jet wet spinning processfluid bed granulationpoint estimation methodalgebraic modeling languageDesign of Experimentscosting stoppingmaterialshydrationSOS programmingkineticsmoisture contentCHP legislationmodel predictive controlgraph theoryrobust optimizationdynamic converter modellingpartial least square regressionuncertaintystate decouplingutility managementfluidized bed dryingreactor coolant pumpcondensationwheat germcookingmaximum wave amplitudemoving horizon estimationgray-box modelchemistrybarleymachine learningheat and mass balanceequality constraintsporridgeprocess model validationPharmaceutical Processesmathematical modelmodel identificationMammalian Cell Cultureprocess modelingparameter correlationPitarch Jose Luis1786855De Prada CesarPantelides CostasScCtBLLScCtBLLBOOK9910367757903321Process Modelling and Simulation4319193UNINA