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システム/制御/情報 Vol. 31 (2018), No. 6

ISIJ International
belloff
オンライン版ISSN: 2185-811X
冊子版ISSN: 1342-5668
発行機関: THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)

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  1. Vol. 37 (2024)

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  2. Vol. 36 (2023)

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  3. Vol. 35 (2022)

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  4. Vol. 34 (2021)

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  5. Vol. 33 (2020)

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  6. Vol. 32 (2019)

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  7. Vol. 31 (2018)

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  8. Vol. 30 (2017)

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  9. Vol. 29 (2016)

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  10. Vol. 28 (2015)

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  11. Vol. 27 (2014)

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  12. Vol. 26 (2013)

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  13. Vol. 25 (2012)

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  14. Vol. 24 (2011)

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  15. Vol. 23 (2010)

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  17. Vol. 21 (2008)

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  18. Vol. 20 (2007)

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  19. Vol. 19 (2006)

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  20. Vol. 18 (2005)

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  21. Vol. 17 (2004)

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  22. Vol. 16 (2003)

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  23. Vol. 15 (2002)

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  24. Vol. 14 (2001)

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  25. Vol. 13 (2000)

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  26. Vol. 12 (1999)

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  27. Vol. 11 (1998)

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  28. Vol. 10 (1997)

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  29. Vol. 9 (1996)

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  30. Vol. 8 (1995)

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  31. Vol. 7 (1994)

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  32. Vol. 6 (1993)

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  33. Vol. 5 (1992)

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  34. Vol. 4 (1991)

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  35. Vol. 3 (1990)

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  36. Vol. 2 (1989)

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  37. Vol. 1 (1988)

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    5. No.3
    6. No.2
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キーワードランキング

03 Dec. (Last 30 Days)

システム/制御/情報 Vol. 31 (2018), No. 6

Stochastic Dynamic Modeling of Human Visuomotor Tracking Task of an Unstable Virtual Object

Shigeki Matsumoto, Katsutoshi Yoshida, Munehisa Sekikawa

pp. 209-219

DOI:

10.5687/iscie.31.209

抄録

We conducted an experiment of a visuomotor tracking task undertaken by human participants and compared it with numerical simulations of the same task performed by a nonlinear stochastic model comprising additive and multiplicative white Gaussian noise, state feedback terms, and a deadband function. We identified the model parameters using particle swarm optimization to minimize squared residuals between the probability density functions (PDFs) of the human and those of the model. All experimentally obtained PDFs were in close agreement with those simulated by the model. We finally propose a reduced model for system identification in order to decrease the number of model parameters and demonstrate that it also reproduces accurate PDFs without prior knowledge of an experimental system.

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Use of Reflection Coefficients of Burg’s Method for Improvement of Visual Support Way in Pronunciation Practice

Ryosuke Karigome, Izumi Hanazaki

pp. 220-227

DOI:

10.5687/iscie.31.220

抄録

In pronunciation practice, the trainees essentially need interactive supports to progress. We have developed a pronunciation training system, where the lip posture and tongue shape that are estimated by the formants extracted by AR model using Burg’s method are shown to the trainee. Realization of real time operations is one of the most important problems in this system. However, formants estimation requires long computation time. In order to avoid spectrum estimation, we attempt to reconstruct these visual instructions from the reflection coefficients of Burg’s method. Here, we investigate relationship between the acoustic feature or articulation manner of the sound and the reflection coefficients. The vocal tract area function calculated from the reflection coefficient was confirmed to acquire feature of tongue shape extracted from MR image taken during uttering more precisely than the formant. This gave possibility to improve visual support way based on the formants.

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水平連続焼鈍炉の炉内雰囲気動特性のモデル化と水素比制御

崔 溶雨, 萩原 朋道, 李 圭澤

pp. 228-239

DOI:

10.5687/iscie.31.228

抄録

This paper is concerned with the hydrogen ratio control in a horizontal continuous annealing furnace used in steelmaking. We first model the nonlinear dynamics of the atmosphere in the furnace so that the hydrogen ratio control may be carried out by applying control theory. We then determine an appropriate equilibrium around which its linearized model is determined. We then take a two-step procedure for designing a linear controller, in which we first apply a minor feedback loop for pressure control and then apply integral compensation so that the hydrogen ratio tracks the reference input without any steady state error. The effectiveness of the resulting controller is verified through a simulation with the original nonlinear model of the furnace.

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水平連続焼鈍炉の炉内雰囲気動特性のモデル化と水素比制御

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顧客の意見を取り入れた量産部品の仕様決定手法に関する研究

杉之内 将大, 貝原 俊也, 藤井 信忠, 國領 大介

pp. 240-249

DOI:

10.5687/iscie.31.240

抄録

This paper proposes a decision method which is to change better parts variation for customers by estimating their needs, establishing a better schedule for a manufacturer and providing better products for customers. This paper optimizes part selection and production scheduling by using an optimization method which imitates negotiation among manufacturer and customers, and improves specification of mass-parts for next term. Customers memorize and share a history of negotiation as pheromone for cooperating among customers. The proposed decision method attempts to change parts variation for customers by estimating their needs from pheromone distribution.

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顧客の意見を取り入れた量産部品の仕様決定手法に関する研究

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緩やかな変化を考慮した粒子群最適化による太陽光発電システムの最大電力点追従制御

志賀 大輔, 若佐 裕治, 中村 龍

pp. 250-256

DOI:

10.5687/iscie.31.250

抄録

The output of photovoltaic (PV) systems is sensitive to environmental changes such as solar radiation and panel temperature. In addition, when PV cells are partially shaded, the power consumption characteristics become multimodal. To obtain the maximum power adaptively according to such operating conditions, particle swarm optimization (PSO)-based maximum power point tracking (MPPT) control methods have been proposed so far. However, these conventional methods still cannot cope with monotonically small changes of operating conditions. In this paper, a PSO-based MPPT control method that can resolve this problem is proposed by introducing appropriate conditions and methods in the algorithm. In simulation, the proposed method is compared with several existing methods to illustrate its effectiveness.

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緩やかな変化を考慮した粒子群最適化による太陽光発電システムの最大電力点追従制御

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