2001Unpublished venueRequires access

A framework for discrete-time models of continuous-time systems

C.A. Rabbath, N. Hori

Open publisher page 6 citations

Abstract

This paper shows that the analysis and the design of discrete-time models of continuous-time systems can be carried out within a single framework. Briefly, all classes of discrete-time models, namely the invariant models, the mapping models and the matched pole-zero models, are shown to incorporate the common structure of a hold followed by a continuous-time system and the ideal sampler. This interpretation of discrete-time models of continuous-time systems facilitates the understanding of the differences and similarities among the various discrete-time models. A numerical example illustrates the concepts involved.

About this research paper

What this paper is about

This paper shows that the analysis and the design of discrete-time models of continuous-time systems can be carried out within a single framework. Briefly, all classes of discrete-time models, namely the invariant models, the mapping models and the matched pole-zero models, are shown to incorporate the common structure of a hold followed by a continuous-time system and the ideal sampler. This interpretation of discrete-time models of continuous-time systems facilitates the understanding of the differences and similarities among the various discrete-time models. A numerical example illustrates the concepts involved.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper shows that the analysis and the design of discrete-time models of continuous-time systems can be carried out within a single framework. Briefly, all classes of discrete-time models, namely the invariant models, the mapping models and the matched pole-zero models, are shown to incorporate the common structure of a hold followed by a continuous-time system and the ideal sampler. This interpretation of discrete-time models of continuous-time systems facilitates the understanding of the differences and similarities among the various discrete-time models. A numerical example illustrates the concepts involved.

Key concepts: Discrete time and continuous time, Discrete modelling, Computer science, Discrete-time stochastic process, Interpretation (philosophy), Discrete system, Continuous modelling, Time-invariant system

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