Black-box modeling of buildings thermal behavior using system identification

Nonlinear black-box modeling in system identification: a unified overview

A nonlinear black-box structure for a dynamical system is a model structure that is prepared to describe virtually any nonlinear dynamics. There has been considerable recent interest in this area, with structures based on neural networks, radial basis networks, waveiet networks and hinging hyperplanes, as well as wavelet-transform-based methods and models based on fuzzy sets and fuzzy rules. Th...

Nonlinear Black-box Modeling in System Identiication

Black-Box Testing of Grey-Box Behavior

A key aspect of the Object-Oriented (OO) approach is that a designer can enrich an OO system by providing suitable (re-)definitions for some of the methods of the given system. Application frameworks provide good examples of such enrichment. An OO framework typically provides a number of template methods that implement specific patterns of calls to hook methods. An application developer can cus...

Investigation on thermal behavior of common types of roofs in buildings using computational fluid dynamics method

In this study, the influence of type and structure of different roofing systems were investigated using computational fluid dynamic method. The considered roofing systems include beam and block types (clay brick, light weight concrete block, polystyrene) and Uboot slab which were designed for 6m and 8m span. To simulate the fluid flow and heat transfer, the computational fluid dynamic method wa...

A Qualitative-Fuzzy Framework for Nonlinear Black-Box System Identification

This paper presents a novel approach to nonlinear black-box system identification which combines Qualitative Reasoning (QR) methods with fuzzy logic systems. Such a method aims at building a good initialization of a fuzzy identifier, so that it will converge to the inputoutput relation which captures the nonlinear dynamics of the system. Fuzzy inference procedures should be initialized with a r...