The problem of piecewise affine identification is addressed by studying four recently proposed techniques for the identification of PWARX/HHARX models, namely a Bayesian procedure, a bounded-error procedure, a clustering-based procedure and a mixed-integer programming procedure. The four techniques are compared on suitably defined one-dimensional examples, which help to highlight the features o...

This paper describes a novel fuzzy rule-based modeling approach for some slow industrial processses. Structure identification is realized by clustering and support vector machines. When the process is slow, fuzzy rules can be obtained automatically. Parameters identification uses the techniques of fuzzy neural networks. A time-varying learning rate assures stability of the modeling error.

This study explored the EFL teachers’ written corrective feedback (CF) techniques and their EFL students’ ability to integrate the CF while revising their texts. A total of 72 EFL students and 4 EFL teachers participated in this study. The data were collected through explicitation interviews administered to teachers and students, as well as through students’ written productions. A content analy...

This study explored the EFL teachers’ written corrective feedback (CF) techniques and their EFL students’ ability to integrate the CF while revising their texts. A total of 72 EFL students and 4 EFL teachers participated in this study. The data were collected through explicitation interviews administered to teachers and students, as well as through students’ written productions. A content analy...

This paper presents two techniques in iterative learning identification (ILI) when the zero initial state condition is not achieved. One is to obtain acceptable impulse responses. The other is to measure the response error to the exclusion of non-zero initial state factor. This paper proposes an estimation technique using the least-squares (LS) method for the former and introduces discarded dat...

we present an approach to design of fault tolerant computing systems. in this paper, a technique is employed that enable the combination of several codes, in order to obtain flexibility in the design of error correcting codes. code combining techniques are very effective, which one of these codes are turbo codes. the algorithm-based fault tolerance techniques that to detect errors rely on the c...

OBJECTIVES System identification techniques have the potential to assess the contribution of the underlying systems involved in standing balance by applying well-known disturbances. We investigated the reliability of standing balance parameters obtained with multivariate closed loop system identification techniques. METHODS In twelve healthy elderly balance tests were performed twice a day du...