Open AccessBook
Subspace Identification for Linear Systems: Theory - Implementation - Applications
Peter Van Overschee,Bart De Moor +1 more
TLDR
This book focuses on the theory, implementation and applications of subspace identification algorithms for linear time-invariant finitedimensional dynamical systems, which allow for a fast, straightforward and accurate determination of linear multivariable models from measured inputoutput data.Abstract:
Subspace Identification for Linear Systems focuses on the theory, implementation and applications of subspace identification algorithms for linear time-invariant finitedimensional dynamical systems. These algorithms allow for a fast, straightforward
and accurate determination of linear multivariable models from measured inputoutput data. The theory of subspace identification algorithms is presented in detail. Several chapters are devoted to deterministic, stochastic and combined deterministicstochastic
subspace identification algorithms. For each case, the geometric properties are stated in a main 'subspace' Theorem. Relations to existing algorithms and literature are explored, as are the interconnections between different subspace algorithms. The subspace identification theory is linked to the theory of frequency weighted model reduction, which leads to new interpretations and insights. The implementation of subspace identification algorithms is discussed in terms of the robust and computationally efficient RQ and singular value decompositions, which are well-established algorithms from numerical linear algebra. The algorithms are implemented in combination with a whole set of classical identification algorithms,processing and validation tools in Xmath's ISID, a commercially available graphical user interface toolbox. The basic subspace algorithms in the book are also implemented in a set of MATLAB® files accompanying the book. An application of ISID to an industrial glass tube manufacturing process is presented in detail, illustrating the power and user-friendliness of the subspace identification
algorithms and of their implementation in ISID. The identified model allows for an optimal control of the process, leading to a significant enhancement of the production quality. The applicability of subspace identification algorithms in industry is further illustrated with the application of the MATLAB® files to ten practical problems. Since all necessary data and MATLAB® files are included, the reader can easily step through these applications, and thus get more insight in the algorithms.
Subspace Identification for Linear Systems is an important reference for all researchers in system theory, control theory, signal processing, automization,mechatronics, chemical, electrical, mechanical and aeronautical engineering.read more
Citations
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Journal ArticleDOI
A Data mining framework of noninvasive intracranial pressure assessment
TL;DR: This work proposes to simulate the unobserved ICP as the output of a model built from a database composed of arterial blood pressure, cerebral blood flow velocity and ICP, and achieves significant improvements of ICP simulation accuracy over several existing noninvasive ICP assessment methods.
Journal ArticleDOI
System identification and modeling of a dynamically tested and gradually damaged 10-story reinforced concrete building
Seyedsina Yousefianmoghadam,Iman Behmanesh,Andreas Stavridis,Babak Moaveni,Amin Nozari,Andrea Sacco +5 more
TL;DR: In this paper, a 10-story reinforced concrete building with six infill walls were demolished in three stages during the tests to introduce damage, and the modal properties in all damage states were identified using two operational modal analysis methods that can capture the effect of the wall demolition.
Journal ArticleDOI
A field experiment on a steel Gerber-truss bridge for damage detection utilizing vehicle-induced vibrations
TL;DR: A field experiment was conducted on a real continuous steel Gerber-truss bridge with artificial damage applied as mentioned in this paper, and the results of the experiment for bridge damage detection utilizing traffic-induced vibrations.
Proceedings ArticleDOI
Optimal decoupling for MIMO-controller design with robust performance
David Vaes,Jan Swevers,Paul Sas +2 more
TL;DR: In this paper, a design approach that combines decentralized control design with an input/output decoupling transformation yielding higher closed-loop performance is presented, which consists of a procedure to find the transformations of the inputs and the outputs such that the relation between the transformed inputs and outputs is as diagonal as possible.
Journal ArticleDOI
Frequency-Domain Subspace Identification of Linear Time-Periodic (LTP) Systems
TL;DR: This paper proposes a novel method to obtain a time-periodic realization for the estimated lifted LTI system by exploiting the specific parametric structure of Fourier series coefficients of the frequency-domain lifting method.
Related Papers (5)
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Reference-based stochastic subspace identification for output-only modal analysis
Bart Peeters,Guido De Roeck +1 more