High-order ARX models can be used to approximate a quite general class of linear systems in a parametric model structure, and wellestablished methods can then be used to retrieve the true plant and noise models from the ARX polynomials. However, this commonly used approach is only valid when the plant is stable or if the unstable poles are shared with the true noise model. In this contribution,...

FIR, ARX or AR model structures can be used to describe many industrial processes. Simple linear regression techniques can be applied to estimate such models from experimental data. However, for low signal to noise ratios in combination with transfer function poles and noise model zeros close to the unit circle, a large number of model parameters are needed to generate adequate models. The Kaut...

This paper considers the modeling and control problem for nonstationary nonlinear systems whose dynamic characteristics depend on time-varying working-points and may be locally linearized. It is proposed to describe the system behavior by the RBFARX model, which is an ARX model with Gaussian radial basis function (RBF) network-style coefficients depending on the working-points of a system. The ...

In this study, we focused mainly on establishing a new sensitive method to identify location of damages in Service Bridge. The improved method of combination of Autoregressive models (AR) and autoregressive models with exogenous inputs (ARX) was applied to identify the damage in Service Bridge. Firstly, an improved AR-ARX model was established for damage identification of bridge on service. Sec...

Commentary Infantile spasms (IS) is a catastrophic epilepsy syndrome occurring during the specific developmental period of infancy and early childhood. In addition to the stereotypic motor spasms, patients with IS typically develop long-term intellectual disability and other seizure types that are often resistant to treatment. A variety of acquired brain injuries at this critical age can result...

Mutations in the X-linked aristaless-related homeobox gene (ARX) have been linked to structural brain anomalies as well as multiple neurocognitive deficits. The generation of Arx-deficient mice revealed several morphological anomalies, resembling those observed in patients and an interneuron migration defect but perinatal lethality precluded analyses of later phenotypes. Interestingly, many of ...

In this paper, least square estimation (LSE)-based synchronous generator model identification is carried out. The synchronous generator model including electromechanical dynamics and primary frequency control is first expressed by continuous-time AutoRegressive with eXogenous (ARX) models. The high-order derivatives in a continuous ARX model are approximated by expressions in terms of discrete-...

Identification of nonlinear dynamic black box models involves structure detection of nonlinear system (i.e. selecting the regressors that have the most contribution to the output and the regressor function) and finally estimation of model parameters. As the NARX representation can describe many nonlinear dynamic models, it will be used here as the desired structure. It should be noted that when...

This paper introduces a new robust-control-oriented system identification method, which consists of the following three steps: 1. High-order ARX model identification; 2. Loop shaping weighting functions design based on the high-order ARX model; 3. Control-oriented model reduction by minimizing the weighted L2-gap between the high-order ARX model and the low-order model. This method truly integr...

An unconstrained model predictive control (MPC) strategy is presented for single input-single output (SISO) control of a reactive distillation column. The predictive model of the MPC is based on the autoregressive moving average (ARX) model structure, whose parameters are updated on-line using the process measurement information. The design and performance of the control strategy is evaluated b...