Identification of processes in closed loop—identifiability and accuracy aspects

Gustavsson, Ivar; Ljung, Lennart; Söderström, Torsten

doi:10.1016/0005-1098(77)90009-7

Cited by 378 publications

(117 citation statements)

References 23 publications

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“…We have chosen classical indirect method for closed-loop identification, see (e.g. [14], [15]), because the plant itself is nearly unstable and the controller transfer functions are known as well as the excitation signal.…”

Section: Identificationmentioning

confidence: 99%

Identification and parameter-varying decoupling of a 3-DOF platform with manipulator

Gajdusek

Damen

Bosch

2008

2008 International Symposium on Power Electronics, Electrical Drives, Automation and Motion

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Abstract--The paper describes identification and a new parameter-varying decoupling method for a 3-degree-offreedom (DOF) platform with a manipulator on top of it, which is magnetically levitated by 9 voice-coil actuators. The identification has been performed in closed-loop using two different indirect approaches. In the first approach timedomain data of the system were processed using Ho-Kalman algorithm. The second approach was based on frequencyresponse measurements. The 3 DOFs of the platform are coupled and the coupling is even varying as the manipulator on top is moving. In order to design separate SISO controllers for each DOF of the platform, a new decoupling method has been developed which uses frequency response measurements of the system obtained for different positions of the manipulator.

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Section: Identificationmentioning

confidence: 99%

Identification and parameter-varying decoupling of a 3-DOF platform with manipulator

Gajdusek

Damen

Bosch

2008

2008 International Symposium on Power Electronics, Electrical Drives, Automation and Motion

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“…Theoretical studies by Gustavsson et al [5], MacGregor and Fogal [1] and an industrial case study by Bartee and McFarlane [6] showed, however, that the identification of process models using routine operating data (or archived data) has very limited potential because in CLID some measure has to be adopted to break the dependency between the process input signal and the process disturbance [2]. The conclusion from those studies was that external excitation is required.…”

Section: Clid With External Excitationmentioning

confidence: 99%

“…CLID approaches have been classified as: Direct Approach, Indirect Approach and Joint Input-Output Approach [5,8,9]. In the joint input-output approach as described in [8] the input u(t) and the output y(t) are jointly viewed as the output from a system driven by the external excitation signal d(t) and noise a(t) and the open-loop parameters are estimated from this augmented system.…”

Section: Clid With External Excitationmentioning

confidence: 99%

Closed-loop identification with a quantizer

Wang

Thornhill

Huang

2005

Journal of Process Control

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“…Persoalan-persoalan tersebut menyebabkan estimasi model dinamik sistem dalam lup tertutup banyak menjadi objek penelitian sejak lama. Antara lain sehubungan dengan realisasi maupun penalaan sistem kontrol otomatik di lapangan [1] . Beberapa hasil penelitian tentang estimasi model dinamik sistem dalam lup tertutup diantaranya telah dipublikasikan oleh H.A.…”

Section: Pendahuluanunclassified

Estimasi Model Parametrik Komponen Feedback, Feedforward, dan Nois pada Sistem Lup Tertutup dengan Teknik Extended Least Square

Tjokronegoro¹

2003

itbj.sci.

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Abstrak. Pada makalah ini dilaporkan hasil penelitian tentang teknik estimasi langsung terhadap model parametrik komponen-komponen sistem di dalam struktur lup tertutup, dengan teknik extended least squares. Tiga komponen (subsistem) sekaligus menjadi obyek estimasi, yaitu komponen umpan maju, umpan balik, dan komponen nois. Dalam penelitian ini telah diasumsikan bahwa komponen sistem yang menjadi obyektif penelitian adalah linier dan tidak berubah terhadap waktu. Umumnya hanya satu komponen yang dapat diestimasi, secara tidak langsung, dan dengan asumsi bahwa komponen yang lain di dalam lup tertutup diketahui modelnya. Analisis yang diberikan menunjukkan bahwa teknik yang diusulkan memberikan jaminan non-bias.Dari struktur estimasi yang diusulkan, salah satu komponen umpan balik atau komponen umpan maju dapat saja tidak stabil sepanjang sistem lup tertutup adalah stabil.Abstract. In this paper is considered a direct estimation technique of model parameters of components (subsystems) of a feedback system using an extended least squares algorithm. There are three components of system may be estimated, feedback, feedforward, and noise. It has been assumed that the system considered was linear and time invariant. A common estimation technique for closed loop system is indirect, and under assumption that only one component will be estimated while the other components in the closed loop are known. The analysis shows that the proposed technique is unnbias. In the proposed structure, one of the components in the closed loop system maybe unstable, as long as the closed loop system is stable.

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Identification of processes in closed loop—identifiability and accuracy aspects

Abstract: Caines ¿nd Chan []J and eepecial"ty i2] gír'e å very cÕnpleÈe treåt* ffenç ef rhe prabtem wieh feedback i¡r ehe ånput eågnaL " They present e

Cited by 378 publications

References 23 publications

Identification and parameter-varying decoupling of a 3-DOF platform with manipulator

Identification and parameter-varying decoupling of a 3-DOF platform with manipulator

Closed-loop identification with a quantizer

Estimasi Model Parametrik Komponen Feedback, Feedforward, dan Nois pada Sistem Lup Tertutup dengan Teknik Extended Least Square

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