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- W2885514186 abstract "This chapter introduces an alternative approach for the simulation of continuous time systems where the time discretization of conventional numerical schemes is replaced by the quantization of the state variables. This approach, instead of approximating the continuous time systems by discrete time systems, leads to discrete event approximations that can be represented within the DEVS formalism framework. In these numerical algorithms, known as Quantized State Systems (QSS) methods, the simulation steps are local to the states that experience significant changes. In that way, calculations are performed only when and where changes occur producing, in some situations, noticeable advantages. Besides introducing the quantization-based integration principles and the family of QSS methods, the chapter discusses the DEVS representation of the resulting approximations and their main theoretical properties: convergence, stability and error bounds. In addition, software tools implementing QSS algorithms and their main applications are presented, and a comparison of these algorithms against classic discrete time numerical algorithms is performed." @default.
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- W2885514186 date "2019-01-01" @default.
- W2885514186 modified "2023-10-09" @default.
- W2885514186 title "Quantization-Based Simulation of Continuous Time Systems" @default.
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- W2885514186 doi "https://doi.org/10.1016/b978-0-12-813370-5.00029-8" @default.
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