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Transactions of the Institute of Systems, Control and Information Engineers Vol. 12 (1999), No. 1

ISIJ International
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ONLINE ISSN: 2185-811X
PRINT ISSN: 1342-5668
Publisher: THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)

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  34. Vol. 4 (1991)

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  36. Vol. 2 (1989)

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Transactions of the Institute of Systems, Control and Information Engineers Vol. 12 (1999), No. 1

An Application for Tank System and its Analysis in Frequency Domain of Two-Degree-of-Freedom Optimal Type-1 Servo System

Akihiro NAGANAWA, Masahiro HIRANUMA, Kazuo AIDA, Goro OBINATA

pp. 1-10

DOI:

10.5687/iscie.12.1

Abstract

In this paper, we do an experimental study of two-degree-of-freedom optimal type-1 servo system based on the LQ (linear quadratic) method using a tank system. First, the experiments for the state feedback system which takes into account of a trade-off between low frequency sensitivity and guaranteed stability margin by using an integral gain are carried out. Next, we extend to the output feedback case and carry out the experiments to show the effectiveness of the LTR (loop transfer recovery) method or the integral gain. As the results of these experiments and its analysis in frequency domain, the influence of an observation noise which appears in the control input, the effect of disturbance rejection and robust stability for a plant perturbation are clarified.

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An Application for Tank System and its Analysis in Frequency Domain of Two-Degree-of-Freedom Optimal Type-1 Servo System

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A Proposal of Axis-Symmetrical Mask on Neuro-Recognition and Optimization by GA and Statistical Analysis of Optimized Results

Fumiaki TAKEDA, Toshihiro NISHIKAGE

pp. 11-19

DOI:

10.5687/iscie.12.11

Abstract

We have developed a neural network (NN) recognition and its hardware for paper currency. We have proposed mask concept to extract characteristics of the currency. Here, we propose a unique mask which has a symmetrical masked area against axes which divide a long side and short one of the currency. We can obtain the same value from both upright image and inverse one of the currency using the axis-symmetrical mask. This means that these values are invariant to upright and inverse of the currency conveyance. Namely, we can recognize twice number of currency kinds compared with the conventional mask though the NN construction is the same. Furthermore, we optimized the axis-symmetrical mask by genetic algorithm. Finally, we show the effectiveness of the optimization by statistical analysis of mask processed values.

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A Proposal of Axis-Symmetrical Mask on Neuro-Recognition and Optimization by GA and Statistical Analysis of Optimized Results

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Construction Method of Linear Suboptimal Controllers from Input-Output Data

Kenichi HAMAMOTO, Toshiharu SUGIE

pp. 20-26

DOI:

10.5687/iscie.12.20

Abstract

In this paper, we consider a suboptimal control problem based on the input-output data through the LFT representation. First we describe the suboptimal control problem in a general setting via the LFT. Then we solve the problem via numerical optimization, where the relation between the design parameters and the cost function plays a key role. For this equation, we discuss how to solve the optimization problem. Finally, we give numerical examples of controller design to demonstrate its effectiveness.

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Construction Method of Linear Suboptimal Controllers from Input-Output Data

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Genetic Algorithm Approach to a Scheduling Problem for a Metal Mold Assembly Process

Kazuhiro ASHIZAWA, Hitoshi IIMA, Nobuo SANNOMIYA, Kagayaki SUZUKI, Yasunori KOBAYASHI

pp. 27-35

DOI:

10.5687/iscie.12.27

Abstract

This paper deals with a large-scale scheduling problem for a metal mold assembly process of automatic vending machines, which is based on a job shop process with additional conditions such as precedence constraints among jobs, parallel machines, and introduction of multi-function machines. The objective of the problem is to minimize the sum of the tardiness of each product. The genetic algorithm (GA) is applied to this problem. Particularly, a method for generating initial individuals and a mutation procedure are proposed. It is observed through simulations for a real data that GA is more effective than a heuristic method.

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Genetic Algorithm Approach to a Scheduling Problem for a Metal Mold Assembly Process

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An Automatic Counting Method of the Passing People by Using Two Space-time Images

Kenji TERADA, Jun'ichi YAMAGUCHI

pp. 36-43

DOI:

10.5687/iscie.12.36

Abstract

In this paper, an automatic counting method of the passing people through the gate is proposed. In the proposed method, two measurement lines are set on the floor of the inside and outside of the gate at right angle with the moving directions of the passing people. The images of the passing people are obtained in series and two space-time images are generated at each measurement line. By detecting which line the person passes early, the moving directions of the passing people are recognized. Finally, the incoming persons and the outgoing persons could be measured by counting the people data with each direction information. In this paper, we describe the algorithm of counting the passing people using the two space-time images and show some experimental results obtained by using a simple experimental system to verify effectiveness of the proposed method.

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An Automatic Counting Method of the Passing People by Using Two Space-time Images

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Synthesis of Strictly Positive Real H2 Controllers with Loop Thransfer Recovery

Takashi SHIMOMURA, Katsumasa KAWASAKI, Takao FUJII

pp. 44-55

DOI:

10.5687/iscie.12.44

Abstract

This paper considers a synthesis problem for such observer based controllers that are strictly positive real and H2 optimal at the same time. We consider this problem in particular from the viewpoint of the inverse problem, and provide a parametrization of the controller, which shows an interesting coupling structure between the regulator and the observer gains. Among them, we concentrate on an weakly coupled class in this paper to have the LTR structure, which was not provided by the original result. For the class, we give conditions on design parameters for ensuring both properties, which can be independently calculated although the problem is the mixed one.

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Synthesis of Strictly Positive Real H2 Controllers with Loop Thransfer Recovery

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Extraction of Fundamental Frequencies from Mixed Tone

Tamotsu SHIRADO

pp. 56-62

DOI:

10.5687/iscie.12.56

Abstract

A method for extracting fundamental frequencies from a mixed tone perfomed by natural instruments is proposed. Acoustical features are assumed in this study : (1) Low-order harmonics have greater powers than other partials, (2) powers of harmonics are continuous in time, and (3) the power spectrum for a mixed tone can be approximated by summing the power spectra of each tone. The “fundamental-ness” of the partials is introduced by these features. Duet and trio tones performed by natural instruments are used as test tones. The averages of the correct identification rates evaluated by performed musical notes are 84%-96% for duet tones, 80%-87% for trio tones.

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Extraction of Fundamental Frequencies from Mixed Tone

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A Parameter Space Setting Method in the Improvement Phase of Simulation-Based Production Scheduling

Masahiko FUYUKI, Masahiro ARAKAWA, Toshiaki SUGIHARA, Kenji MATANO, Ichiro INOUE

pp. 63-65

DOI:

10.5687/iscie.12.63
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A Parameter Space Setting Method in the Improvement Phase of Simulation-Based Production Scheduling

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An Approach for Systematization of Implementation to Linear Phase Recursive Digital Filter with Interpolating Operations

Taikyu KIM, Norihito UCHIDA, Akira YAMASHITA, Tomoaki NAKAGAWA, Tatsuya WATANABE

pp. 66-68

DOI:

10.5687/iscie.12.66
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An Approach for Systematization of Implementation to Linear Phase Recursive Digital Filter with Interpolating Operations

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Fuzzy c-Means Clustering Algorithm with Pseudo Mahalanobis Distances

Masayuki OHUE, Hidetomo ICHIHASHI, Tetsuya MIYOSHI

pp. 69-71

DOI:

10.5687/iscie.12.69
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Fuzzy c-Means Clustering Algorithm with Pseudo Mahalanobis Distances

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