This study aims to evaluate the performance of Soil and Water Assessment Tool (SWAT), a simple Auto-Regressive with eXogenous input (ARX) model, gene expression programming (GEP)-based model in one-day-ahead discharge prediction for upper Kentucky River Basin. Calibration models were carried out period 2002–2005 using daily flow at stream gauging station unaffected by regulation. Validation cal...

The power unit on board the ship generates periodic low-frequency vibration that affects normal operation of equipment board, and adaptive feedforward control algorithm can effectively suppress such harmful noise. But needs to obtain identification model secondary channels, frequency domain least squares method based linear Extended auto-regressive (ARX) is difficult with nonlinear characterist...

In this paper we assess how intra-day electricity prices can improve the prediction of zonal day-ahead wholesale in Italy. We consider linear autoregressive models with exogenous variables (ARX) and without interactions among predictors, non-parametric taken from machine learning literature. particular, implement Random Forests support vector machines, which should automatically capture relevan...

An integrated modeling and robust model predictive control (MPC) approach is proposed for a class of nonlinear systems with unknown steady state. First, the nonlinear system is identified off-line by RBF-ARX model possessing linear ARX model structure and state-dependent Gaussian RBF neural network type coefficients. On the basis of the RBF-ARX model, a combination of a local linearization mode...

ARX designs are quite popular, but analysis of these schemes is hard because of their bit-level structure. This makes tasks such as building a differential characteristic very tedious. In this document, we present the result of our work in trying to help with analysis of ARX designs. We describe a toolkit to study ARX constructions, and present some preliminary results obtained with it. This is...

A major problem in image compression is the coding of noise and noisy texture in an image. In a classic image compression approach, a transparent representation of these components is only possible with a very high bit rate. However, a pixel exact representation is not necessary in order to achieve visually perceived transparency because the human viewer is not able to distinguish two noise sig...

This study proposes a novel approach to identifying crack damage common to metallic structural elements under extreme cyclic loading. Using two piezoelectric pads surface mounted to a structural element, broadband signals can be used to locally excite the element using one pad and the corresponding system response measured with a second pad. An auto-regressive with exogenous input (ARX) system ...

In this paper, the application of a specific system identification procedure to a municipal solid waste (MSW) incinerator is discussed. This procedure is a combination of, on the one hand, a particular closed-loop identification method called the two-stage method and, on the other hand, the approach of high-order multiple input multiple output (MIMO) ARX model estimation followed by model reduc...

this study contains the identification of modal dynamic properties of a 3-story large-scale steel test frame structure through shaking table measurements. shaking table test is carried out to estimate the modal properties of the test frame such as natural frequencies, damping ratios and mode shapes. among many different model structures, arx (auto recursive exogenous) model structure is used fo...

Gait event detection is important for diagnosis and evaluation. This is a challenging endeavor due to subjectivity, high amount of data, among other problems. ANFIS (Artificial Neural Fuzzy Inference Systems), ARX (Autoregressive Models with Exogenous Variables), OE (Output Error models), NARX (Nonlinear Autoregressive Models with Exogenous Variables) and models based on NN (neural networks) we...