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edited by Leigh Tesfatsion and Kenneth L. Judd
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Sheldon M. Ross
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edited by Hans M. Amman, David A. Kendrick, and John Rust
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C.K. Birdsall, A.B. Langdon
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Marcia Lynn Whicker, Lee Sigelman
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David B. Fogel
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論文
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Mukhopdhyay, S.C. ; Iwahara, Masayoshi ; Yamada, Sotoshi ; 岩原, 正吉 ; 山田, 外史
概要:
For the last few years the authors have been involved in the design and development of different topologies of magnetic current limiter (MCL). The small scale laboratory models have been fabricated and experiments were conducted. The
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simulated performance obtained from the tableau approach based on lumped parameter model shows discrepancy with the experiment. This paper describes the necessity of electromagnetic field computation which clearly shows the discrepancy between the observed and the simulation results, which can be attributed to a non uniform flux distribution in the core.
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論文
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Kacprzak, D. ; Yamada, Sotoshi ; Iwahara, Masayoshi ; 山田, 外史 ; 岩原, 正吉
概要:
This paper presents simulated amplitude and phase characteristics obtained during the inspection of printed circuit board by an eddy-current testing probe. The simulation is based on the "two-components" nature of the output signal.
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Amplitude and phase characteristics, obtained during the experimental inspection and simulation, are presented.
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| 9.
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論文
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Mukhopadhyay, S.C. ; Iwahara, Masayoshi ; Yamada, Sotoshi ; Dawson, F.P. ; 岩原, 正吉 ; 山田, 外史
概要:
Different topological configurations for a passive magnetic current limiter consisting of a permanent magnet and saturable core are discussed in this paper. The models for a series/parallel biasing mode, and a single/three phase supply
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system have been fabricated and the experiments have been carried out for the performance evaluation. Using tableau method, the transient performance of different models has been simulated. The feasibility of applying the current limiter for the protection of power semiconductor devices in moderately low voltage applications is investigated.
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| 10.
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論文
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Miyoshi, Seiji ; Nakayama, Kenji
概要:
In this paper, the geometric learning algorithm (GLA) is proposed for an elementary perceptron which includes a single output neuron. The GLA is a modified version of the affine projection algorithm (APA) for adaptive filters.
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The weights update vector is determined geometrically towards the intersection of the k hyperplanes which are perpendicular to patterns to be classified. k is the order of the GLA. In the case of the APA, the target of the coefficients update is a single point which corresponds to the best identification of the unknown system. On the other hand, in the case of the GLA, the target of the weights update is an area, in which all the given patterns are classified correctly. Thus, their convergence conditions are different. In this paper, the convergence condition of the 1st order GLA for 2 patterns is theoretically derived. The new concept `the angle of the solution area' is introduced. The computer simulation results support that this new concept is a good estimation of the convergence properties.
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