• Korean Chemical Engineering Research
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• 제45권1호
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• pp.67-72
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• 2007

An efficient method for identification of MIMO state space model has been developed by combining partial least squares (PLS) regression, balanced realization, and balanced truncation. In the developed method, a MIMO system is decomposed into multiple MISO systems each of which is represented by a high-order ARX model and the parameters of the ARX models are estimated by PLS. Then, MISO state space models for respective MISO ARX transfer function are found through realization and combined to a MIMO state space model. Finally, a minimal balanced MIMO state space model is obtained through balanced realization and truncation. The proposed method was applied to the design of model predictive control for temperature control of a high pressure $CO_2$ solubility measurement system.

• Journal of the Korea institute for structural maintenance and inspection
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• 제13권2호통권54호
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• pp.115-121
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• 2009

The paper presents a signal-based damage detection algorithm of ARX model using dynamic acceleration data. An ARX model correlates acceleration data measured at two locations in a structure by considering those two sets of data as input and output signals. For detecting damage, the error between the measured data and the predicted response from the defined ARX model is computed in time and used for a statistical evaluation. A normal distribution function from the error in time is constructed and its statistical characteristic values are used for the evaluation of damage. By comparing the normal distribution functions before and after damage, three different types of damage indices are proposed. The efficiency and limitation of the proposed algorithm with the statistical evaluation of damage indices have been examined and discussed through laboratory experiments.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• 제40권10호
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• pp.840-845
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• 2012

An ARX(Auto-Regressive eXogenous) modeling technique for vortex dynamics in the BFS(Backward Facing Step) flow field is proposed in this paper. In order for the modeling of the dynamics, the spatial and temporal modes are extracted through POD(Proper Orthogonal Decomposition) analysis. Determining the orders of the inputs and outputs for an ARX structure is carried out by the spectrum analysis and temporal mode analysis, respectively. The order of input delay terms is also determined by the flow velocity. Finally the coefficients of the ARX model are designed by using an artificial neural network.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 한국항해항만학회 2012년도 춘계학술대회
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• pp.157-159
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• 2012

바람이나 파도에 의해서 해상 부유체의 진동이 발생하는데, 이러한 진동은 부유체와 부유체에 접안시킨 이동체 사이에 접촉을 야기하기 때문에 부유체나 이동체에 손상이 발생한다. 이 논문에서는 AR(Autoregressive) 모델과 ARX(AR with eXogenous) 모델을 이용하여 부유체에 발생하는 진동 모델링에 관해서 기술한다. 연구 방법은, 기준 잡음신호를 생성하여 기준 모델 계수를 구하고, 모의 충격신호를 생성하여 충격 모델 계수를 구한 후, 충격 신호만을 추출하여 가해진 충격의 정도를 분석 평가하였다. 본 연구는 향후 요트와 요트계류장의 안전확보 시스템 개발을 위한 기초 연구로 활용할 예정이다.

• Journal of the Earthquake Engineering Society of Korea
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• 제21권6호
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• pp.287-293
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• 2017

Sometimes, it is impossible to install a sensor on a certain location of a structure due to the size of a structure or poor surrounding environments. Even if possible, sensors can be frequently malfunctioned or improperly operated due to lack of adequate maintenance. These kind of problems are solved by the virtual sensing methods in various engineering fields. Virtual sensing technology is a technology that can measure data even though there is no physical sensor. It is expected that this technology can be also applied to the construction field effectively. In this study, a virtual sensing technology based on ARX model is proposed. An ARX model is defined by using the simulated data through a structural analysis rather than by actually measured data. The ARX-based virtual sensing model can be applied to estimate unmeasured response using a transfer function that defines the relationship between two point data. In this study, a simulation and experimental study were carried out to examine the proposed virtual sensing method with a laboratory test on a cable-stayed model bridge. Acceleration measured at a girder is transformed to estimate a cable tension through the ARX model-based virtual sensing.

• Proceedings of the Korean Information Science Society Conference
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• 한국정보과학회 1998년도 가을 학술발표논문집 Vol.25 No.2 (3)
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• pp.157-159
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• 1998

쓰레드는 프로그램의 동시성을 표현하는데 적합하고, 프로세서 모델에 비하여 동기화나 문맥교환의 비용을 줄일 수 있어 기존의 멀티 프로세스 프로그래밍을 대체하고 있다. 운영체계에서 멀티쓰레팅 환경의 제공은 이제 필수적이며, 좋은 성능을 위해서는 운영체계의 지원이 필요하다. ARX 실시간 운영체계는 유저 레벨 멀티쓰레팅을 지원하고 있으며 쓰레드의 성능을 높이고 유저 레벨에서 실시간 스케쥴링이 가능하도록 하기 위하여 동적 가상 쓰레드 바인딩(dynamic virtual stack binding)과 스케쥴링 이벤트 업콜(scheduling event upcall)등의 기법을 지원한다. 본 논문에서는 자바 가상 머신을 통하여 ARX 운영체계의 쓰레드 라이브러리의 성능을 측정하고 다른 운영체계의 멀티쓰레드 라이브러리와 성능 비교를 하였다. 실험결과 ARX 가 제공하는 쓰레드 라이브러리가 다른 운영체계에 비해 우수한 성능을 보여줌을 확인하였다.

• Transactions of the Korean Society of Mechanical Engineers B
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• 제24권3호
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• pp.354-362
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• 2000

This paper identifies a discrete-time linear combustion model of Refuse Incineration Plant(RIP) which characterizes steam generation quantity, where the RIP is considered as a MIMO system with thirteen-inputs and one-output. The structure of RIP model is described as an ARX model which are analytically obtained from the combustion dynamics. Furthermore, using the Instrumental Variable(IV) identification algorithm, model structure and unknown parameters are identified from experimental input-output data sets, In result, it is shown that the identified ARX model well approximates the input-output combustion characteristics given by experimental data sets.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 한국정밀공학회 2002년도 추계학술대회 논문집
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• pp.624-627
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• 2002

Experimental study showed that the existing mathematical model doesn't fully describe the lateral motion of a moving web fur different operating conditions. So, a physically interpretable model of lateral motion of a moving web in a typical web guidance system, operated at Konkuk Univ., was developed using the system identification technique. A well-known Least Square Method based on ARX model was used for the system identification. Lateral displacement of the web was measured at the exit of each span by infrared sensors. The model obtained from identifying a linear time-invariant system for a typical operating condition yields an improved prediction capability of the lateral dynamics of the moving web compared to other mathematical models proposed in literature.

• Journal of Institute of Control, Robotics and Systems
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• 제8권7호
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• pp.556-562
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• 2002

This paper studies the identification of a combustion model, which is used to design a linear controller of a steam generation quantity and harmful exhaust gases of a Refuse Incineration Plant(RIP). Even though the RIP has strong nonlinearities and complexities, it is identified as a MIMO parametric ARX model from experimental input-output data sets. Unknown model parameters are decided from experimental input-output data sets, using system identification algorithm based on Instrumental Variables(IV) method. It is shown that the identified model well approximates the input-output combustion characteristics.

• Transactions of the Korean Society of Mechanical Engineers B
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• 제41권5호
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• pp.321-328
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• 2017

In this study, vortex tube system model is developed to predict the temperature of the hot and the cold sides. The vortex tube model is developed based on the system identification method, and the model utilized in this work to design the vortex tube is ARX type (Auto-Regressive with eXtra inputs). The derived polynomial model is validated against experimental data to verify the overall model accuracy. It is also shown that the derived model passes the stability test. It is confirmed that the derived model closely mimics the physical behavior of the vortex tube from both the static and dynamic numerical experiments by changing the angles of the low-temperature side throttle valve, clearly showing temperature separation. These results imply that the system identification based modeling can be a promising approach for the prediction of complex physical systems, including the vortex tube.