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Descriptive Models of System Dynamics [PDF]
, 2017 Nowadays, while performing their investigations, researchers often face large datasets requiring fast processing for analysis and drawing adequate conclusions. Data mining, statistical methods and big data analytics provide an impressive arsenal of tools allowing scientists to address those tasks.
Grygorii Zholtkevych +6 more
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A Semantic Model for Dynamic Systems
1993We present a new formal structure, called d-oid, for modelling systems of evolving objects. In our view, d-oids are the dynamic counterpart of many-sorted algebras, in the sense that they can model dynamic structures as much as algebras can model static data types.
ASTESIANO, EGIDIO, ZUCCA, ELENA
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Modeling hybrid dynamical systems
1996We present a modeling scheme for multivariate hybrid dynamical systems. From given time series embedded in appropriate state spaces we predict future outputs by making local linear fits in the neighbourhood of the actual state vectors. In particular, the proposed algorithm can be used online.
Ingo Hoffmann, Karsten-Ulrich Klatt
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A Dynamic Representation Model for Service Systems
2010 International Conference on Service Sciences, 2010Current work on service systems is flourishing. Both researchers and practitioners seek to build service systems to create innovative services and increase productivity in the service sector. Unfortunately, most of the existing work focuses on information systems and their lack of models that not only represent entities in service systems with formal ...
Peng, Yong +2 more
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Models for Bounded Systems with Continuous Dynamics
Biometrics, 2009Summary Models for natural nonlinear processes, such as population dynamics, have been given much attention in applied mathematics. For example, species competition has been extensively modeled by differential equations. Often, the scientist has preferred to model the underlying dynamical processes (i.e., theoretical mechanisms) in continuous time.
Cangelosi, Amanda R., Hooten, Mevin B.
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Dependability Modeling and Analysis in Dynamic Systems
2007 IEEE International Parallel and Distributed Processing Symposium, 2007Dependability evaluation is an important, often indispensable, step in (critical) systems design and analysis processes. The introduction of control and/or computing systems to automate processes increases the overall system complexity and therefore has an impact in terms of dependability.
DISTEFANO, SALVATORE, PULIAFITO, Antonio
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Dynamic modeling of CIM systems
1995Dynamic Modeling is not a precise defined concept. Nevertheless, its ambiguity makes it appropriate to use in discussions about requirements for a modern modeling methodology. “Real” systems (as CIM systems are) tend to be complex and dynamic. Models of such systems (or better: of parts of such systems) should serve different purposes: They should ...
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Model Tree Ensembles for Modeling Dynamic Systems
2013We address the task of discrete-time modeling of nonlinear dynamic systems using measured data. In the area of control engineering, this task is typically converted into a classical regression problem, which can then be solved with any nonlinear regression approach.
Darko Aleksovski +2 more
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Automating the modeling of dynamic systems
1994The current situation in the field of computer aided dynamic systems modeling is syrveyed, and the contemporary tools for computer aided modeling are discussed. It is proposed that there is a need also for special purpose modeling tools that are able to manipulate the models without destructing their structure.
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Handbook of Dynamic System Modeling
2007INTRODUCTION The Languages of Dynamic System Modeling by Paul A. Fishwick Introduction Dynamic System Modeling Examples Taxonomic Approaches Language Syntax Semantics Pragmatics Summary The Dynamics of the Computational Modeling of Analogy-Making by Robert M.
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