Past, present and future mathematical models for buildings (ii)

Lu, X., Clements-Croome, D. J. and Viljanen, M. (2009) Past, present and future mathematical models for buildings (ii). Intelligent Buildings International Journal, 1 (2). pp. 131-141. ISSN 1750-8975 doi: 10.3763/inbi.2009.0024

Abstract/Summary

This article is the second part of a review of the historical evolution of mathematical models applied in the development of building technology. The first part described the current state of the art and contrasted various models with regard to the applications to conventional buildings and intelligent buildings. It concluded that mathematical techniques adopted in neural networks, expert systems, fuzzy logic and genetic models, that can be used to address model uncertainty, are well suited for modelling intelligent buildings. Despite the progress, the possible future development of intelligent buildings based on the current trends implies some potential limitations of these models. This paper attempts to uncover the fundamental limitations inherent in these models and provides some insights into future modelling directions, with special focus on the techniques of semiotics and chaos. Finally, by demonstrating an example of an intelligent building system with the mathematical models that have been developed for such a system, this review addresses the influences of mathematical models as a potential aid in developing intelligent buildings and perhaps even more advanced buildings for the future.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/12289
Identification Number/DOI	10.3763/inbi.2009.0024
Refereed	Yes
Divisions	Science > School of the Built Environment
Uncontrolled Keywords	buildings, intelligent buildings, mathematical modelling
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