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Modeling of a dynamic RFID system
2013 IEEE Symposium on Computers and Communications (ISCC), 2013The paper presents a new approach to the simulation of RFID dynamic systems. The designed simulation model is strictly based on the system principle of operation being in accordance with the standard ISO 18000-6. Therefore it is applicable to a great number of existing RFID systems.
Marek Gotfryd, Bartosz Pawlowicz
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The EOQ model – A dynamical system
Applied Mathematics and Computation, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Model system for slow dynamics
Physical Review Letters, 1991Systems whose dynamics are described by a quasilogarithmic or stretched-exponential time dependence are usually fitted by models which use disorder to create a distribution of relaxation times. Here we describe a model which decays slowly towards equilibrium but does not require disorder to provide the slow dynamics. The model consists of a spin system
, Lottis, , White, , Dahlberg
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Modeling and identification of dynamic systems
IEEE Transactions on Systems, Man, and Cybernetics, 1985The problem of identifying system parameters deals with the evaluation of coefficients in the known mathematical model from measured input-output data. Moreover, the identification problem can be reduced to a parameter estimation that uses the tools of estimation theory.
Naresh K. Sinha, Boguslaw Kuszta
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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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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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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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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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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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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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