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On the Identification of Nonlinear Systems
IFAC Proceedings Volumes, 1982Abstract For the identification of systems in which the nonlinear element is in the feedback path, a new technique based on the Volterra characterisation of nonlinear system, is presented. The method is shown to have distinct computational advantages. Simulation studies using the proposed method are given.
N.C. Jagan, D.C. Reddy
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Identification in fuzzy systems
IEEE Transactions on Systems, Man, and Cybernetics, 1984Given are fuzzy relational equations of the type \(Y=X\circ R\), \(Y=X*R\), \(Y=X\square R\), where X,Y denote fuzzy sets of input and output, R a fuzzy relation, and \(\circ\), *, \(\square\) are sup-min, sup-prod, inf-max composition operators, respectively. This paper deals with identification methods in fuzzy systems.
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An invariance in system identification
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1987In simulations and analysis involving adaptive system identification with FIR filters, a white noise input spectrum is usually assumed. We consider in this correspondence the effect of an autoregressive (all-pole) input. In particular, we prove that all but P of the optimum tap weights are invariant to the pole locations, where P is the number of poles
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Projectile identification system
32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings., 2004The U.S. Army plans for the needs of future warfare to retain its technological superiority. Future Combat Systems (FCS) is a major effort designed to meet this need. FCS includes multiple automated fire weapons. On current systems, a human typically enters information about each projectile loaded.
Glenn J. Beach +3 more
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Outliers in system identification
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017This paper is dedicated to Dr. Roberto Temple. The topic, outliers in system identification, was initially started with a discussion with Roberto in the early 2000. The first part of the paper summaries the approach, optimization with few violated constrains for linear bounded error parameter estimation, that was appeared in IEEE Trans.
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International Journal of Quantum Information, 2005
The joint measurement approach has been shown to detect more information in quantum system. In this paper, we propose a quantum identification algorithm based on the joint quantum measurement. Through this, we can collectively compare an unknown quantum composite system with those in the database.
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The joint measurement approach has been shown to detect more information in quantum system. In this paper, we propose a quantum identification algorithm based on the joint quantum measurement. Through this, we can collectively compare an unknown quantum composite system with those in the database.
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Anaerobic Identification Systems
Clinics in Laboratory Medicine, 1985Commercially produced prepackaged "kit" microsystems were evaluated for the identification of anaerobes. The API 20A and Minitek Anaerobe II systems by themselves were inadequate; even with the use of supplemental tests, agreement of identifications with a conventional method was only fair.
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Brain and Other Central Nervous System Tumor Statistics, 2021
Ca-A Cancer Journal for Clinicians, 2021Rebecca L. Siegel +2 more
exaly
A System of Dental Identification
The Journal of the American Dental Association, 1946L G, WELTY, R R, GLASGOW
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