Results 231 to 240 of about 2,583,502 (287)

Fast Numerical Solvers for Parameter Identification Problems in Mathematical Biology. [PDF]

J Sci Comput
Benková K, Pearson JW, Ptashnyk M.
europepmc   +1 more source

Two-Stage Sparse Recovery for Off-Grid Cascaded Channel Estimation in RIS-Assisted mmWave Systems. [PDF]

Sensors (Basel)
Han Z, Liu Q, Cao Y, Wang Y, Lin Y.
europepmc   +1 more source

Research on Blade Asynchronous Vibration Parameter Identification for Large-Scale Centrifugal Compressor Based on Improved MUSIC Algorithm. [PDF]

Sensors (Basel)
Fan Z, Shen Y, Du Y, Huang J, Liu S.
europepmc   +1 more source

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An overview of subspace identification

Computers and Chemical Engineering, 2006
This paper provides an overview of the state of the art of subspace identification methods for both open-loop and closed-loop systems. Practical considerations and future directions are given at the end of the paper.
Si-Zhao Joe Qin
exaly   +2 more sources

System Identification Based on Invariant Subspace

IEEE Transactions on Automatic Control, 2022
This paper proposes a novel system identification method based on the notion of invariant subspace. It is shown that when the system input and output asymptotically converge onto an invariant subspace, a new form of regression can be obtained. New identification algorithms are then developed based on the obtained regression.
Chao Huang 0018, Gang Feng 0001, Hao Zhang 0008, Zhuping Wang   +3 more
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On-line subspace identification

2001 European Control Conference (ECC), 2001
In this paper a recursive technique, based on the subspace state space identification methods, is presented for identification of time-varying systems. The main idea was to develop an iterative algorithm with most of the advantages of this kind of methods in order to deal with real-time applications and minimize the computational burden.
Catarina J. M. Delgado, P. Lopes dos Santos, J. L. Martins de Carvalho   +2 more
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Probing inputs for subspace identification

Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002
There is experimental evidence that the standard subspace methods (e.g. the N4SID method) perform poorly in certain conditions where the past signals (past inputs and past outputs) and future input spaces are nearly parallel. Based on an elementary numerical conditioning analysis, the paper describes a class of (system-dependent) input signals (called ...
CHIUSO, ALESSANDRO, PICCI, GIORGIO
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Subspace identification with eigenvalue constraints

Automatica, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Daniel N. Miller, Raymond A. de Callafon
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Subspace identification of circulant systems

Automatica, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Paolo Massioni, Michel Verhaegen
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