Unbiased bilinear subspace system identification methods - IEEE Xplore
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A conceptual algorithm which can achieve unbiased estimation under less restrictive assumptions on the system and input signals is presented. It is pointed out ...
In this paper, we propose a class of unbiased 'four-block' al- gorithms which forms a basis for the analysis and comparison of various subspace methods for ...
A conceptual algorithm which can achieve unbiased estimation under less restrictive assumptions on the system and input signals is presented. It is pointed out ...
This paper focuses on identifying nonlinear unstable magnetic bearing systems using a linear model and frequency response data. Subspace system ...
Apr 12, 2012 · Cox, Chris, Chen, Huixin and Maciejowski, Jan (2001) Unbiased Bilinear Subspace System Identification Methods. In: European Control Conference.
... subspace identification algorithms. 1.1 MODELS OF SYSTEMS AND SYSTEM IDENTIFICATION. A dynamic model, pictorially described in Figure 1.1, covers almost all ...
[PDF] An Improved Subspace Identification Method for Bilinear Systems
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In fact we propose two algorithms: an unbiased one for the case of l ≥ n,. (where l: number of outputs, n: number of states), and an asymptotically unbiased one ...
In this paper, we establish a unified framework for subspace identification (SID) of linear parameter-varying (LPV) systems to estimate LPV state–space (SS) ...
2. Subspace system identification algorithms make full use of the well developed body of concepts and algorithms from numerical linear algebra. Numerical ...
... unbiased estimates with general inputs, and for which the rate of reduction of bias can be estimated . The computational complexity of these algorithms was ...