This paper aims to describe a comparative study regarding several identification models and control solutions for an active suspension system, while corrupted by narrow band disturbances. The tested identification models are linear and belong to ARMAX class. Several identification methods were compared in terms of disturbances rejection, both in open and closed loop cases. Beside the Least Squa...

Fractionation product properties of crude distillation unit (CDU) need to be monitored and controlled through feedback mechanism. Due to inability of on-line measurement, soft sensors for product quality estimation are developed. Soft sensors for kerosene distillation end point are developed using linear and nonlinear identification methods. Experimental data are acquired from the refinery dist...

Purpose: This work aims to evaluate demand forecasting models determine if using exogenous factors and machine learning techniques helps improve performance compared univariate statistical models, allowing manufacturing companies manage better.Design/methodology/approach: We implemented a multivariate Auto-Regressive Moving Average with eXogenous input (ARMAX) model Neural Network-ARMAX (NN-ARM...

This paper presents an alternative approach to time series forecasting, through use of artificial neural networks (ANNs), a relatively new concept in hydrological research. Box and Jenkins ARMAX (autoregressive moving average with exogenous inputs) models have been widely used in modeling various time series with satisfactory results. This study shows that ANNs can produce comparable, to ARMAX,...

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Our work presents a low-cost temperature acquisition, for incubator system, based on the Arduino hardware platform; both the hardware and software components are detailed, together with experimental evaluation. This system was designed to facilitate the process of identification and control of a temperature of premature infant incubator. The experimental evaluation revealed that this system is ...

This paper presents a two-step instrumental variable (IV) method to obtain the regularized and consistent parameter estimates of the Hammerstein ARMAX model based on the bilinear parameterized form. The two-step identification method consists of estimating the bilinear parameters in the first step, followed by parameter reduction in the second step. An iterative identification method is propose...

A pneumatic actuator is highly nonlinear, which makes the precise position control of this difficult to achieve. In order achieve control, selecting a suitable model structure prerequisite before estimation. This selection based upon an understanding physical systems. paper, black-box chosen as system identification for modeling Intelligent Pneumatic Actuator (IPA) and variety parametric struct...