Journal Article10.1016/0005-1098(94)90230-5
N4SID: subspace algorithms for the identification of combined deterministic-stochastic systems
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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.
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About: This article is published in Automatica. The article was published on 03 Jan 1994. The article focuses on the topics: Probabilistic analysis of algorithms & State space.
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Citations
Continuous time state-space model identification with application to magnetic bearing systems
R Mohd Mokhtar
- 01 Jan 2008
TL;DR: A data-driven approach in realization by the subspace methods is carried out in developing the models used in the identification of continuous time linear multi-variable systems using state-space models.
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Data-Driven Set-Based Estimation using Matrix Zonotopes with Set Containment Guarantees.
Alexander Berndt,Amr Alanwar,Karl Henrik Johansson,Henrik Sandberg +3 more
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TL;DR: In this paper, a data-driven set propagation function is proposed to estimate the state of an unknown dynamical system with set-containment guarantees, making it applicable to the estimation of safety-critical systems.
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Analyzing Linear Dynamical Systems: From Modeling to Coding and Learning.
TL;DR: The proposed methods yield higher accuracies in various classification tasks including video classification and tactile recognition as well as efficient algorithms to perform sparse coding and dictionary learning on the space of infinite-dimensional subspaces.
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Online monitoring of MPC disturbance models using closed-loop data
B.J. Odelson,James B. Rawlings +1 more
- 04 Jun 2003
TL;DR: Methods are developed to employ closed-loop MPC data to identify the unknown covariances and fully realize the potential of the state estimation problem and demonstrate the benefits of using such techniques.
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A Unifying Theorem for Subspace Identification Algorithms and Its Interpretation
TL;DR: It is shown that all three algorithms are special cases of one unifying Theorem, which indicates that the three algorithms use exactly the same subspace to determine the order and the extended observability matrix, but the weighting of the space is different in the three cases.
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Linear systems
S.R. Liberty
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TL;DR: In this paper, the authors studied the effect of local derivatives on the detection of intensity edges in images, where the local difference of intensities is computed for each pixel in the image.
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