In prognostic's field, the lack of knowledge on the behavior of equipments can impede the development of classical dependability analysis, or the building of effective physic-based models. Following that, artificial neural networks (ANNs) appear to be well suited since they can learn from data gathered from equipments. In this paper, an approach combining a Recurrent Radial Basis Function netwo...

This article is concerned with the identification of autoregressive models exogenous inputs (ARX). Most existing approaches like prediction error minimization and state-space framework are widely accepted utilized to estimate ARX but known deliver unbiased consistent parameter estimates for a correctly supplied guess input-output orders delay. In this paper, we propose novel automated spectral ...

Although finite impulse response (FIR) models are nonparsimonious, they are frequently used in model predictive control (MPC) systems because they can fit arbitrarily complex stable linear dynamics. However, identification of FIR models from experimental data may result in data-overfitting and high modeling uncertainty. To overcome this, FIR models may be determined by (a) regularization-based ...

ARX/Arx is a homeodomain-containing transcription factor necessary for the specification and early maintenance of pancreatic endocrine α-cells. Many transcription factors important to pancreas development, including ARX/Arx, are also crucial for proper brain development. Although null mutations of ARX in human patients result in the severe neurologic syndrome XLAG (X-linked lissencephaly associ...

Defects in glucagon action can cause hyperplasia of islet α-cells, however, the underlying mechanisms remain largely to be elucidated. Mice homozygous for a glucagon-GFP knock-in allele (Gcg(gfp/gfp) ) completely lack proglucagon-derived peptides and exhibit hyperplasia of GFP-positive α-like cells. Expression of the transcription factor, aristaless-related homeobox (ARX), is also increased in ...

Understanding the end-to-end packet delay dynamics of the Internet is of crucial importance since it directly affects the QoS (Quality of Services) of various applications, and it enables us to design an efficient congestion control mechanism. In our previous studies, we have measured round-trip time of the Internet, and have modeled its dynamics by the ARX (Auto-Regressive eXogenous) model usi...

Model predictive control (MPC) is used in the CO2 removal process Subang field to improve its performance. MPC maintain concentration at sweet gas output by controlling feed pressure (PIC-1101), makeup water flow rate (FIC-1102), and amine (FIC-1103). The empirical model applied represent auto-regressive exogenous (ARX) model. ARX compared with first order plus dead time (FOPDT) based on root m...

A comparative analysis of different models of a Magneto-Rheological (MR) damper was done. Three models were tested: a non-linear ARX, a semi-phenomenological and a phenomenological. Although the non-linear ARX model shown the best result, this is a black-box model with limited use. However, the Semi-Phenomenological model represented an excellent option considering the physical meaning of its p...

Genetic investigations of X-linked intellectual disabilities have implicated the ARX (Aristaless-related homeobox) gene in a wide spectrum of disorders extending from phenotypes characterised by severe neuronal migration defects such as lissencephaly, to mild or moderate forms of mental retardation without apparent brain abnormalities but with associated features of dystonia and epilepsy. Analy...