Results 261 to 270 of about 93,147 (298)

Weighting in Subspace-Based System Identification

IFAC Proceedings Volumes, 2000
Abstract Subspace-based methods for system identification are often based on an estimate of the range space of the extended observability matrix. It is thus of great interest to investigate, and also optimize, the accuracy of the estimated subspace. Especially, the influence of certain weighting matrices is an unresolved issue.
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Subspace identification of hammerstein systems using B-splines

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
This paper presents an algorithm for the identification of Hammerstein cascades with hard nonlinearities. The nonlinearity of the cascade is described using a B-spline basis with fixed knot locations; the linear dynamics are described using a state-space model. The algorithm automatically estimates both the order of the linear system and the number and
K, Jalaleddini, D T, Westwick, R E, Kearney   +2 more
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Subspace-based state-space system identification

Circuits, Systems, and Signal Processing, 2002
The subspace approach to state-space modeling offers numerically reliable algorithms for computing state-space descriptions directly from data. The methods are competitive with respect to traditional prediction-error or instrumental variable techniques, in particular for the high-order multi-input multi-output case.
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Subspace based system identification for an acoustic enclosure

Proceedings of the 2000. IEEE International Conference on Control Applications. Conference Proceedings (Cat. No.00CH37162), 2002
This paper is aimed at identifying a dynamical model for an acoustic enclosure, a duct with rectangular cross section, closed ends, and side-mounted speaker enclosures. Acoustic enclosures are known to be resonant systems of high order. In order to design a high performance feedback controller for an acoustic enclosure, one needs to have an accurate ...
Tomas McKelvey, Andrew Fleming, S. O. Reza Moheimani   +2 more
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Subspace Identification of Distributed Clusters of Homogeneous Systems

IEEE Transactions on Automatic Control, 2017
This note studies the identification of a network comprised of interconnected clusters of LTI systems. Each cluster consists of homogeneous dynamical systems, and its interconnections with the rest of the network are unmeasurable. A subspace identification method is proposed for identifying a single cluster using only local input and output data.
Yu, C. (author), Verhaegen, M.H.G. (author)   +1 more
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Subspace identification of closed-loop systems

Proceedings of the 41st SICE Annual Conference. SICE 2002., 2003
We briefly review a stochastic realization theory based subspace method for identifying closed loop systems. Using the preliminary orthogonal decomposition we show that, under the assumption that the exogenous input is persistently excited, the identification of closed loop systems is divided into two subproblems: the deterministic identification of ...
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On Consistency of Subspace Methods for System Identification

Automatica, 1998
The authors consider consistency of subspace methods for system identification. They give conditions ensuring consistency of the subspace methods used in subspace identification methods. For systems without noise, a persistence of excitation condition on the input signal can ensure the consistency. Moreover, the authors give a system for which subspace
Jansson, Magnus, Wahlberg, Bo
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Nuclear norm subspace identification method for Hammerstein system identification

Proceeding of the 11th World Congress on Intelligent Control and Automation, 2014
In this paper, in order to solve the dimension problem in over-parameterized method (OPM) and the rank constraint problem in subspace identification method (SIM), The nuclear norm subspace identification method (N2SID) is proposed with a combination of nuclear norm minimization (NNM) and least-parameterized method (LPM).
null Mingxiang Dai, null Jingxin Zhang, null Ying He, null Xinmin Yang   +3 more
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Subspace Identification of SISO Hammerstein Systems: Application to Stretch Reflex Identification

IEEE Transactions on Biomedical Engineering, 2013
This paper describes a new subspace-based algorithm for the identification of Hammerstein systems. It extends a previous approach which described the Hammerstein cascade by a state-space model and identified it with subspace methods that are fast and require little a priori knowledge.
Kian, Jalaleddini, Robert E, Kearney
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Subspace Model Identification for Continuous-Time Systems

IFAC Proceedings Volumes, 1997
Abstract Usually, the subspace-based state-space system identification algorithms are focused on discrete-time models, which may cause some numerical problems when the sampling interval is small. This paper proposes an algorithm of subspace-based state-space system identification for continuous-time systems from sampled input-output data.
Zi-Jiang Yang, Setsuo Sagara, Kiyoshi Wada   +2 more
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