Transfer Function Models for Multidimensional Systems with Bounded Domains

Rabenstein R (1999)


Publication Status: Published

Publication Type: Journal article, Original article

Publication year: 1999

Journal

Publisher: Taylor & Francis: STM, Behavioural Science and Public Health Titles / Taylor & Francis

Book Volume: 5

Pages Range: 259-278

Journal Issue: 3

URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0033414205&origin=inward

Abstract

Multidimensional (MD) systems describe relations between signals depending on two or more independent variables. They are also called distributed parameter systems, if the independent variables are time and space. The only conventional models for their description are partial differential equations. This is in contrast to onedimensional (lumped parameter) systems, where a variety of different models including transfer functions is used. This paper extends the concept of transfer function models to multidimensional systems with bounded spatial domains, i.e., systems which can be described as initial-boundary-value problems. These transfer function models are useful for system analysis and as a starting point for the derivation of numerically efficient discrete simulation models.

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How to cite

APA:

Rabenstein, R. (1999). Transfer Function Models for Multidimensional Systems with Bounded Domains. Mathematical and Computer Modelling of Dynamical Systems, 5(3), 259-278.

MLA:

Rabenstein, Rudolf. "Transfer Function Models for Multidimensional Systems with Bounded Domains." Mathematical and Computer Modelling of Dynamical Systems 5.3 (1999): 259-278.

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