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Transactions of the Institute of Systems, Control and Information Engineers Vol. 31 (2018), No. 2

ISIJ International
belloff
ONLINE ISSN: 2185-811X
PRINT ISSN: 1342-5668
Publisher: 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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  14. Vol. 24 (2011)

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  15. Vol. 23 (2010)

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  16. Vol. 22 (2009)

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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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  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)

    1. No.7
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    3. No.5
    4. No.4
    5. No.3
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Transactions of the Institute of Systems, Control and Information Engineers Vol. 31 (2018), No. 2

Ensuring Reproducible Simulations on Heterogeneous Computing Environments for Social Simulation

Takuya Harada, Tadahiko Murata

pp. 37-48

DOI:

10.5687/iscie.31.37

Abstract

In this paper, we propose a computational framework to run reproducible simulation on heterogeneous computing environments for social simulation using random number. From simulation results using various parameter settings, we focus not only on average results but also a unique agent or trial. To find unique trials from a number of simulation results, we need to accelerate large-scale simulations and multi-trial simulations. However, we observe different simulation results using parallel computing because random number sequences vary by the number of parallelism. We must ensure the reproducibility of simulations when we try to analyze simulation results in detail. In this paper, we propose a computational framework to run reproducible simulations using unparalleled CPU, paralleled CPU and GPU. Our experimental results show that we get the same simulation results in heterogeneous computing environments.

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Ensuring Reproducible Simulations on Heterogeneous Computing Environments for Social Simulation

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A Research of an Optimization Method of Integrating Part Selection and Production Scheduling Imitating Negotiation and Cooperation among Customers and a Manufacturer using Combinatorial Auction with Pheromone

Shota Suginouchi, Toshiya Kaihara, Nobutada Fujii, Daisuke Kokuryo

pp. 49-57

DOI:

10.5687/iscie.31.49

Abstract

This paper proposes an optimization method of integrating part selection and production scheduling under mass customization. The proposal method uses a combinatorial auction with pheromone modeled on a negotiation process between manufacturer and customers toward optimal plans. Especially, this paper focuses on cooperation among customers. To make a bid, bidders memorize and share the process of negotiation using three pheromones. Numerical examples are conducted to evaluate effectiveness of evaporation and diffusion which are characteristics of pheromone, and of share range of pheromone.

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A Research of an Optimization Method of Integrating Part Selection and Production Scheduling Imitating Negotiation and Cooperation among Customers and a Manufacturer using Combinatorial Auction with Pheromone

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Ris

Design of an Anti-windup Dynamic Quantizer for a Discrete-valued Input Control System

Atsushi Matsuya, Takao Sato, Nozomu Araki, Yasuo Konishi

pp. 58-62

DOI:

10.5687/iscie.31.58

Abstract

This paper discusses a design method for controlling a discrete-valued input system with dynamic quantizer, where the control input is saturated. In such a control system, the control input can be excessive because of the dynamics of the quantizer. Therefore, an anti-windup compensator is designed by solving a linear matrix inequality equivalent to robust stability condition for input saturation error. Finally, numerical examples are shown to demonstrate the validity of the proposed method.

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Design of an Anti-windup Dynamic Quantizer for a Discrete-valued Input Control System

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Nonlinear Output Feedback Control for Average Output Voltage of Boost Converters Based on their Discretized Bilinear Model

Toru Tambo, Yoshio Ebihara, Tomomichi Hagiwara

pp. 63-74

DOI:

10.5687/iscie.31.63

Abstract

This paper is concerned with nonlinear output feedback control for the average output voltage of boost converters through their discretized bilinear models. We first propose a bilinear observer synthesis method for the discretized bilinear model by effectively using the fact that the control input corresponds to the duty ratio and hence has upper and lower bounds whose values can be exploited in the synthesis. We next employ a kind of Lyapunov method for the synthesis of state-feedback controllers with integral compensation. Here, the integral compensation aims at making the (approximate) average output voltage track its reference input and is introduced with its implementability taken into account under limited data acquisition performance and operational speed of digital signal processors. Finally, we carry out control experiments with the combined use of the designed state feedback and bilinear observer and verify the effectiveness of the overall control strategy.

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Nonlinear Output Feedback Control for Average Output Voltage of Boost Converters Based on their Discretized Bilinear Model

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H2 Analysis of LTI Discrete-Time Systems via Conversion to Externally Positive Systems

Yoshio Ebihara, Noboru Sebe, Izumi Masubuchi, Hayato Waki, Masaaki Kanno, Daisuke Tsubakino

pp. 75-84

DOI:

10.5687/iscie.31.75

Abstract

In this paper, we explore H2 analysis techniques of general, not necessarily positive, discrete-time linear time-invariant (LTI) systems by means of positive system theory. While externally positive systems are a particular class of systems whose impulse responses take only nonnegative values, we often encounter such impulse responses even in the analysis of general LTI systems. A typical example is the computation of the H2 norm where we focus on squared impulse responses. In view of this observation, we first clarify that we can construct an SISO externally positive system whose impulse response is given by the square of the impulse response of a given SISO LTI system. This system conversion allows us to reduce the H2 norm computation problem of a general LTI system to the l∞-induced norm computation problem (or l1 problem in short) of the resulting externally positive system. It also turns out that this problem reduction enables us to derive various alternative formulas for the H2 norm of general discrete-time LTI systems.

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H2 Analysis of LTI Discrete-Time Systems via Conversion to Externally Positive Systems

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