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This paper studies the use of first and second order Quantized State Systems methods (QSS and QSS2) in the simulation of Differential Algebraic Equation (DAE) systems. A general methodology to obtain the QSS and the QSS2 approximations of a generic DAE of index 1 is provided and their corresponding DEVS implementations are developed. Further, an alternative(More)
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This paper describes the quantization–based integration methods and extends their use to the simulation of hybrid systems. Using the fact that these methods approximate ordinary differential equations (ODEs) and differential algebraic equations (DAEs) by discrete event systems, it is shown how hybrid systems can be approximated by pure discrete event(More)
The paper introduces a new family of numerical ODE solvers called Quantized State System (QSS) methods. Given a set of ODEs in its state-space representation, the QSS methods replace the classic time slicing by a quantization of the states, leading to an asynchronous discrete-event simulation model instead of a discrete-time difference equation model. QSS(More)
— This paper introduces a novel event-driven sampled-data feedback scheme where the plant output samples are triggered by the crossings—with hysteresis—of the signal through its quantization levels. The plant and controller communicate over binary channels that operate asynchronously and are assumed to be error and delay-free. The paper proposes two(More)
Resumen— En este artículo se presenta una nueva herramienta de software para la simula-ción de sistemas dinámicos basada en el for-malismo DEVS (Discrete Event System Specification). La herramienta, denominada Power-DEVS, permite la creación de modelos DEVS elementales en código C, la edición gráfica del acoplamiento de los mismos y la posterior(More)
This paper introduces a new general purpose software tool for DEVS modeling and simulation oriented to the simulation of hybrid systems. The environment –called PowerDEVS – allows defining atomic DEVS models in C++ language which can be then graphically coupled in hierarchical block diagrams to create more complex systems. Both, atomic and coupled models,(More)