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This paper presents a stochastic subspace identification algorithm dedicated to subspace-based closed-loop system identification. The preliminary algorithm is based on the ordinary subspace technique followed by a modification in which a new proposed method based on orthogonal decomposition method is used to reconstruct the past input and past output data of the instrumental variables. The noise model...
We put forward a new piecewise-linear stochastic resonance (SR) model for detecting the weak signal under the strong noise background. we show its description equations and haracter parameters. Through numerically simulating its performance under periodic signal and aperiodic signal respectively, we illustrate that this system is very helpful for detecting the weak signal under the strong noise background.
We present a linear matrix inequality (LMI) for testing the stability of a 2-D system described by the Fornasini-Marchesini first model. The test is based on the properties of sum-of-squares polynomials with matrix coefficients. Although the test implements a sufficient condition, extensive experiments suggest that the gap to necessity is very small. We also derive an LMI describing stability conditions...
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