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SICE Journal of Control, Measurement, and System Integration Vol. 7 (2014), No. 6

ISIJ International
ONLINE ISSN: 1884-9970
PRINT ISSN: 1882-4889
Publisher: The Society of Instrument and Control Engineers

Backnumber

  1. Vol. 13 (2020)

    1. No.6
    2. No.5
    3. No.4
    4. No.3
    5. No.2
    6. No.1

  2. Vol. 12 (2019)

    1. No.6
    2. No.5
    3. No.4
    4. No.3
    5. No.2
    6. No.1

  3. Vol. 11 (2018)

    1. No.6
    2. No.5
    3. No.4
    4. No.3
    5. No.2
    6. No.1

  4. Vol. 10 (2017)

    1. No.6
    2. No.5
    3. No.4
    4. No.3
    5. No.2
    6. No.1

  5. Vol. 9 (2016)

    1. No.6
    2. No.5
    3. No.4
    4. No.3
    5. No.2
    6. No.1

  6. Vol. 8 (2015)

    1. No.6
    2. No.5
    3. No.4
    4. No.3
    5. No.2
    6. No.1

  7. Vol. 7 (2014)

    1. No.6
    2. No.5
    3. No.4
    4. No.3
    5. No.2
    6. No.1

  8. Vol. 6 (2013)

    1. No.6
    2. No.5
    3. No.4
    4. No.3
    5. No.2
    6. No.1

  9. Vol. 5 (2012)

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    2. No.5
    3. No.4
    4. No.3
    5. No.2
    6. No.1

  10. Vol. 4 (2011)

    1. No.6
    2. No.5
    3. No.4
    4. No.3
    5. No.2
    6. No.1

  11. Vol. 3 (2010)

    1. No.6
    2. No.5
    3. No.4
    4. No.3
    5. No.2
    6. No.1

  12. Vol. 2 (2009)

    1. No.6
    2. No.5
    3. No.4
    4. No.3
    5. No.2
    6. No.1

  13. Vol. 1 (2008)

    1. No.6
    2. No.5
    3. No.4
    4. No.3
    5. No.2
    6. No.1

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SICE Journal of Control, Measurement, and System Integration Vol. 7 (2014), No. 6

Mathematical Model of Glucose-Insulin Metabolism in Type 1 Diabetes Including Digestion and Absorption of Carbohydrates

Claudia Cecilia YAMAMOTO NOGUCHI, Eiko FURUTANI, Shoichiro SUMI

pp. 314-320

DOI:

10.9746/jcmsi.7.314

Abstract

The authors propose a mathematical model of glucose-insulin metabolism in type 1 diabetes based on Bergman and Shimoda insulin models, which are adjusted to represent diabetic state and improve the accuracy of subcutaneous insulin absorption, respectively. The authors also propose a model of digestion and absorption from carbohydrates based on the glycemic index (GI) of foods and carbohydrate bioavailability concepts that provide a glucose-equivalent representation of the impact of carbohydrates on blood glucose levels. Comparison with clinical data demonstrates that the proposed model is able to represent postprandial blood glucose excursion for carbohydrates with varying GI values.

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Mathematical Model of Glucose-Insulin Metabolism in Type 1 Diabetes Including Digestion and Absorption of Carbohydrates

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System Identification of Mechanomyogram at Various Levels of Motor Unit Recruitment

Takanori UCHIYAMA, Takahiro TAMURA

pp. 321-326

DOI:

10.9746/jcmsi.7.321

Abstract

The mechanomyogram from a single motor unit and the induced mechanomyogram at various levels of recruitment were measured with an acceleration sensor. The transfer functions between motor unit action potential (or electrical stimulation) and the mechanomyogram were identified using the singular value decomposition method. The purpose of this study is to clarify how the model order of the transfer function depends on the recruitment level. The second- to tenth-order transfer functions were calculated, and the difference between the observed and the estimated mechanomyograms using the transfer function, the fitness, was calculated. The relationship between the model order and the fitness was tested using the Holm-Bonferroni multiple comparison. At low levels (single motor unit, 20, and 40%) of recruitment, there were significant differences between the fourth- and higher-order models, but there were no significant differences between the fifth- and higher-order models. In contrast, at high levels (60, 80, and 100%) of recruitment, the fourth-order model did not show significant differences between the fifth- or higher-order models. As a result, the fifth- and fourth-order models were appropriate at low and high recruitment levels, respectively. The differences in the order might be caused by interactions between active and resting motor units.

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System Identification of Mechanomyogram at Various Levels of Motor Unit Recruitment

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Near-Infrared Spectroscopy Measurement for Brain Activity Analysis during Ergometer Pedal Exercise

Shintaro NAKATANI, Nozomu ARAKI, Yasuo KONISHI, Kunihiko MABUCHI

pp. 327-331

DOI:

10.9746/jcmsi.7.327

Abstract

The goal of this research is to develop a rehabilitation system based on a brain-machine interface (BMI) for paraplegic patients. This requires the ability to detect a patient's desire on the basis of his or her brain activity. In the work reported here, the authors used near-infrared spectroscopy (NIRS) to measure the brain activity of healthy subjects while they exercised on a bicycle ergometer. Analysis results showed that the oxy-Hb level increased at the start of the exercise. This variation in the oxy-Hb level occurred a few seconds after the start of exercise. On the basis of the analysis results, the authors considered a pedaling exercise state discrimination that uses the oxy-Hb level and its time derivative. The discrimination results for three healthy subjects showed over 72% accuracy. For a paraplegic patient's pedal exercise imagery, this discrimination scheme still had 74% accuracy.

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Near-Infrared Spectroscopy Measurement for Brain Activity Analysis during Ergometer Pedal Exercise

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Simultaneous Measurement of Displacement-MMG/EMG during Exercise

Hisao OKA, Yuto KONISHI, Tomoki KITAWAKI

pp. 332-336

DOI:

10.9746/jcmsi.7.332

Abstract

A surface electromyogram (sEMG) is a time-related and spatial aggregate of the action potentials of a muscle's motor units. A mechano-myogram (MMG) directly reflects the mechanical contraction function of a muscle. A displacement-MMG is useful to examine the characteristics of muscle contraction. To evaluate muscle contraction, it is necessary to measure both EMG and MMG signals (EMG: input to muscles that will contract, MMG: resulting output from contraction). The authors developed a wireless MMG/EMG hybrid transducer (45L × 16W × 12mmH, 2.5g) composed of a small photo-reflector, two EMG electrodes, and a wireless transmission module. It can measure both EMG and MMG signals simultaneously. The authors applied the transducer to the measurement of displacement-MMG/EMG signals during subjects' squatting-jumping, ergometer pedaling and running on a treadmill. The authors also examined the relationship between the MMG and EMG signals recorded.

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Simultaneous Measurement of Displacement-MMG/EMG during Exercise

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Entrainment Analysis in Goodwin-Type Nonlinear Oscillator Networks Driven by External Periodic Signals

Dinh-Hoa NGUYEN, Shinji HARA

pp. 337-346

DOI:

10.9746/jcmsi.7.337

Abstract

In this paper, we present a systematic approach based on harmonic balance method to study the entrained oscillations in a class of Goodwin-type oscillator networks forced by external periodic signals consisting of high order harmonics. First, a necessary condition and a conjecture for entrainment of network oscillations are presented. Next, the authors reveal an estimation for the profile of entrained oscillations in one situation and the monotone dependence of the amplitude and phase shift of entrained oscillations to the external input in other contexts. The theoretical results are then illustrated through some examples including a practical model for circadian rhythm in Neurospora crassa.

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Entrainment Analysis in Goodwin-Type Nonlinear Oscillator Networks Driven by External Periodic Signals

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Collision-Free Guidance Control of Small Unmanned Helicopter Using Nonlinear Model Predictive Control

Satoshi SUZUKI, Takahiro ISHII, Yoshihiko AIDA, Yohei FUJISAWA, Kojiro IIZUKA, Takashi KAWAMURA

pp. 347-355

DOI:

10.9746/jcmsi.7.347

Abstract

In this study, our aim is to realize collision-free guidance control for a small unmanned helicopter. The simultaneous flight of multiple small unmanned helicopters has recently attracted considerable attention for practical operation because of the high efficiency and fault tolerance capability. Collision avoidance should be considered in the guidance system of small helicopters to realize simultaneous flight. The authors adopted nonlinear model predictive control (NMPC) to design a collision-free guidance control system for small unmanned helicopters; collision avoidance was regarded as a state constraint. A hierarchical control structure consisting of an attitude control system and guidance control system was adopted to simplify the overall control system. The authors propose a simple nonlinear translational model of the helicopter to reduce the computational cost of NMPC. The effectiveness of the proposed collision-free guidance control system was verified through both numerical simulation and a flight experiment.

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Collision-Free Guidance Control of Small Unmanned Helicopter Using Nonlinear Model Predictive Control

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A Pragmatic Approach to Modeling Object Grasp Motion Using Operation and Pressure Signals for Demolition Machines

Mitsuhiro KAMEZAKI, Hiroyasu IWATA, Shigeki SUGANO

pp. 356-363

DOI:

10.9746/jcmsi.7.356

Abstract

In this paper, an object grasp motion, which is a requisite condition to make a demolition machine grasp an object, is pragmatically modeled, considering accurate and robust identification. Grasping an object is a highly difficult task that requires safe and precise operations, particularly in disaster response work. Identifying a grasp or non-grasp state is essential for providing operational support. These types of outdoor machines lack visual and tactile sensors, so pragmatically available lever operation and cylinder pressure sensors are adopted as parameters for modeling. The grasp motion is simply defined by using sequential transitions of the on-off state of the operation signal and cylinder pressure data for the grapple and the manipulator. The results of experiments conducted to transport objects using an instrumented hydraulic arm indicated that the modeled grasp motion model effectively identifies a grasp or non-grasp state with high accuracy, independently of operators and work environments.

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A Pragmatic Approach to Modeling Object Grasp Motion Using Operation and Pressure Signals for Demolition Machines

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Stabilization of Suspension Vehicle Near Rollover by Nonlinear Model Predictive Control

Pathompong JAIWAT, Toshiyuki OHTSUKA

pp. 364-373

DOI:

10.9746/jcmsi.7.364

Abstract

A suspension vehicle near rollover is controlled by nonlinear model predictive control method (NMPC), in which the continuation/generalized minimal residual (C/GMRES) is used to solve an optimal control problem in real time. The suspension vehicle near rollover can be represented by a double inverted pendulum with suspension. This kind of double inverted pendulum consists of two pendulums connected together by a nonlinear spring, which represents the axle and the body of the suspension vehicle. The terminal cost is given by a solution to the algebraic Riccati equation to make the tuning process in performance index easier. The input force to make the vehicle tip up is determined based on the surface friction coefficient and the location of the vehicle's center of gravity. The results obtained from simulation indicated that NMPC with C/GMRES could swing up and stabilize the system successfully in real time.

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Stabilization of Suspension Vehicle Near Rollover by Nonlinear Model Predictive Control

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