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Journal ArticleDOI

Closed-loop subspace identification using the parity space

Jin Wang, +1 more
- 01 Feb 2006 - 
- Vol. 42, Iss: 2, pp 315-320
TLDR
In this article, a new subspace identification method using the parity space employed in fault detection in the past has been presented, which gives consistent estimation of the deterministic part and stochastic part of the system under closed loop.
About
This article is published in Automatica.The article was published on 2006-02-01. It has received 94 citations till now. The article focuses on the topics: Subspace topology & Random subspace method.

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Citations
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Journal ArticleDOI

A Review on Basic Data-Driven Approaches for Industrial Process Monitoring

TL;DR: A basic data-driven design framework with necessary modifications under various industrial operating conditions is sketched, aiming to offer a reference for industrial process monitoring on large-scale industrial processes.
Journal ArticleDOI

Subspace method aided data-driven design of fault detection and isolation systems

TL;DR: In this paper, the authors deal with data-driven design of fault detection and isolation (FDI) systems and identify a primary form of residual generators, instead of the process model, directly from test data and, based on it, design advanced FDI systems.
Journal ArticleDOI

Statistical process monitoring as a big data analytics tool for smart manufacturing

TL;DR: A roadmap of statistical process monitoring (SPM) is presented and it is suggested that process characteristics or feature based SPM is a promising route for next generation SPM and could play a significant role in smart manufacturing.
Journal ArticleDOI

Optimized Design of Parity Relation-Based Residual Generator for Fault Detection: Data-Driven Approaches

TL;DR: Novel approaches are proposed to derive the parity vectors that construct optimized residual generators for linear and nonlinear systems and can significantly improve the sensitivity to small faults, and thus, the fault detection rate is improved compared with the traditional nonoptimized approach.
Journal ArticleDOI

Control Performance Assessment for ILC-Controlled Batch Processes in a 2-D System Framework

TL;DR: A novel 2-D closed-loop subspace identification method is proposed to identify the converted 2- D Roesser system and the LQG tradeoff surface can be obtained and utilized to assess the control performance.
References
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Book

System Identification: Theory for the User

Lennart Ljung
TL;DR: Das Buch behandelt die Systemidentifizierung in dem theoretischen Bereich, der direkte Auswirkungen auf Verstaendnis and praktische Anwendung der verschiedenen Verfahren zur IdentifIZierung hat.
Journal ArticleDOI

N4SID: subspace algorithms for the identification of combined deterministic-stochastic systems

TL;DR: Two new N4SID algorithms to identify mixed deterministic-stochastic systems are derived and these new algorithms are compared with existing subspace algorithms in theory and in practice.
Journal ArticleDOI

Analytical redundancy and the design of robust failure detection systems

TL;DR: In this article, a robust failure detection and identification (FDI) process is viewed as consisting of two stages: residual generation and decision making, and it is argued that a robust FDI system can be achieved by designing a robust residual generation process.
Journal ArticleDOI

Identification of the deterministic part of MIMO state space models given in innovations form from input-output data

TL;DR: Two algorithms to identify a linear, time-invariant, finite dimensional state space model from input-output data and a special case of the recently developed Multivariable Output-Error State Space (MOESP) class of algorithms based on instrumental variables are described.
Journal ArticleDOI

Closed-loop identification revisited

TL;DR: A new projection approach to closed-loop identification with the advantage of allowing approximation of the open-loop dynamics in a given, and user-chosen frequency domain norm, even in the case of an unknown, nonlinear regulator.
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