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システム/制御/情報 Vol. 13 (2000), No. 9

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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  34. Vol. 4 (1991)

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  36. Vol. 2 (1989)

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キーワードランキング

26 Dec. (Last 30 Days)

システム/制御/情報 Vol. 13 (2000), No. 9

Youlaパラメトリゼーションに基づくモデル追従型アンチワインドアップ制御系の直接設計

富田 泰之, 鷹羽 浄嗣

pp. 395-402

DOI:

10.5687/iscie.13.9_395

抄録

In this paper, we consider the anti-windup control system design based on Youla parametrization. We derive sufficient conditions for the stability and the model following performance of the present anti-windup control system in terms of scaled H∞ conditions. Furthermore, based on these conditions, we provide a direct design method of the anti-windup controller achieving the good model following performance even when the control input is saturated. A numerical example shows the applicability of the proposed design method.

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Youlaパラメトリゼーションに基づくモデル追従型アンチワインドアップ制御系の直接設計

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Hamilton-Jacobi-Isaacs方程式に基づく非線形H∞制御の-設計法

井前 讓, 高橋 淳也

pp. 403-412

DOI:

10.5687/iscie.13.9_403

抄録

Based on Hamilton-Jacobi-Isaacs equation, we deal with a design problem of the state feedback controller for the nonlinear H∞ control problem. Making use of the emergent property of Genetic Programming, we try to approximately obtain the solution of the Hamilton-Jacobi-Isaacs equation. By introducing the automatic differentiation technique, we then combine the Genetic Programming with the nonlinear H∞ control problem. Some numerical examples are demonstrated to illustrate the efficiency of the proposed design method.

mendeley

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Hamilton-Jacobi-Isaacs方程式に基づく非線形H∞制御の-設計法

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Ris

投入順序決定ドメインシェルの開発-バンパー塗装ラインへの応用

高田 修, 尾口 健太郎, 山崎 知彦, 藤井 実, 渡邉 豊英

pp. 413-423

DOI:

10.5687/iscie.13.9_413

抄録

This paper proposes a sequencing domain shell for a mixed-model assembly line and also discusses the application result from a practical production of a bumper coating line. The domain shell, SELES (SELEction tool for production instruction Scheduling), was developed to construct sequencing expert systems individually and provided the functions to select an appropriate product from plural candidates with respect to constraints such as line situation and line balancing. The characteristics of SELES are as follows : (1) the meta-inference mechanism and knowledge representation enable to straightforwardly describe flows of sequencing and maintain easily knowledge bases, (2) the selection mechanism using filtering primitives is understandable and widely applicable for various kinds of production lines. We applied SELES to a sequencing system for a practical bumper coating line. As a result, we could reduce a mount of labors dramatically and decrease a stock space of products in some production processes.

mendeley

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投入順序決定ドメインシェルの開発-バンパー塗装ラインへの応用

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Ris

オブザーバ型部分スイッチング制御則による拘束システムの安定化

平田 研二, 藤田 政之

pp. 424-432

DOI:

10.5687/iscie.13.9_424

抄録

This paper considers output-feedback switching control of systems with pointwise-in-time state and control constraints. In the case of full state feedback, the ability of switching control laws for resolving a common conflict in the design of state regulators has been proved. Under measurement feedback, previous work of the authors derived the switching control law utilizing a set-valued state estimation technique. However, the online computational burden in constructing the set-valued estimates of the plant state may severely limit its applicability. Proposed methods in this paper alleviate this burden. The main idea is to construct an upper bound of certain quadratic form of unmeasured error signals. The resulting measurement feedback switching control law is then constructed in conjunction with this upper bound as an estimation error, rather than set-valued estimate of the state.

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オブザーバ型部分スイッチング制御則による拘束システムの安定化

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楕円領域を持つファジィクラシファイアのロバスト化

江口 卓志, 玉置 久, 阿部 重夫

pp. 433-440

DOI:

10.5687/iscie.13.9_433

抄録

In this paper, we discuss a robust training method for a fuzzy classifier with ellipsoidal regions. First, we define a fuzzy rule for each class. Next, we determine the weight for each training datum Dy the two-stage method in order to suppress the effect of outliers. Then, using these weights, we calculate the center and covariance matrix of the ellipsoidal region for each class and tune the Fuzzy rules. After tuning, to further improve generalization ability, we tune fuzzy rules between two classes using the training data in the class boundary. We demonstrate the effectiveness of our method using four benchmark data sets.

mendeley

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楕円領域を持つファジィクラシファイアのロバスト化

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