The problem of optimal sensor locations in nonparametric identification of viscoelastic materials is considered. Different criteria of the covariance matrix, connected to Aand D-optimal experiment design, are considered and evaluated. The results of the paper can be used to design experiments with improved accuracy of the estimates. Copyright c 2005 IFAC.

This paper presents a systematic approach to dealing with withinpair order effects in paired comparison experiments, which have historically received substantial attention in many application areas, including psychology, transportation, marketing and medicine. It describes how optimal designs can be constructed for paired comparison experiments involving several attributes. It extends earlier w...

The target of this paper is to provide a compact review of the Optimal Experimental Design, the continuous case. Therefore we are referring to the general nonlinear problem in comparison to the linear one.

Simultaneous deployment of multiple Radio Access Technologies (RATs) and multiple bands of the same RATs in a given coverage area, call for an efficient utilization of the overall available resources to carry the complete offered user traffic, and to provide a superior user experience. Traffic steering aims at distributing the offered load in an optimal manner across different RATs and bands in...

In this work the optimization-based, integrated concurrent design method is applied to the modelling, analysis, and design of a transportation fuel cell system. A general optimal design model considering both functional performance and production costs is first introduced. Using the Ballard Mark V Transit Bus fuel cell system as an example, the study explores the intrinsic relations among vario...

Experimental economics represents a strong growth industry. In the past several decades the method has expanded beyond intellectual curiosity, now meriting consideration alongside the other more traditional empirical approaches used in economics. Accompanying this growth is an influx of new experimenters who are in need of straightforward direction to make their designs more powerful. This stud...

For j = 4 and j = 5 and all d j, the maximum value of detXX , where X runs through all j d (0,1)-matrices, is determined along with a matrix X0 for which the maximum determinant is attained. In the theory of statistical designs, X0 is called a D-optimal design matrix. Design matrices that were previously thought to be D-optimal, are shown here to be D-optimal.