The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Control and Design of Computing Systems: What to Model and How

Author

Summary, in English

The application of feedback control to computing systems is a promising research area, but has to date been hindered by the almost unanimously perceived complexity in creating control-oriented system models. Computing systems are in fact considered very hard to describe with dynamic models allowing for simple and powerful control design tools, so that complex ones need bringing in to the detriment of efficiency and result assessment. In this work a novel approach to the modelling of computing systems is proposed, in a view to explain and partially avoid such complexity, by capturing only their relevant dynamics with the simplest possible models. The approach is shown to work at least on two relevant case studies, so that a significant generality can be inferred from it, being able to reproduce the relevant parts of the system's behaviour and paving the way to control design and synthesis.

Publishing year

2012

Language

English

Pages

102-107

Publication/Series

7th Vienna International Conference on Mathematical Modelling 2012

Document type

Conference paper

Publisher

Elsevier

Topic

  • Control Engineering

Conference name

Vienna International Conference on Mathematical Modelling 2012

Conference date

2012-02-15

Conference place

Vienna, Austria

Status

Inpress

Research group

  • LCCC

ISBN/ISSN/Other

  • ISBN: 9781627483285