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Transactions of the Institute of Systems, Control and Information Engineers Vol. 20 (2007), No. 10

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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  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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  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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Transactions of the Institute of Systems, Control and Information Engineers Vol. 20 (2007), No. 10

Bio-mimetic Trajectory Tracking Control of Tendon driven Robot Using Delayed Force Feedback

Takayuki NAKAYAMA, Atsushi YAMADA, Hideo FUJIMOTO, Hidenori KIMURA

pp. 387-395

DOI:

10.5687/iscie.20.387

Abstract

Tendon driven robots can contact with environment softly at any time by grace of the intrinsic elasticity of actuators. Meanwhile it is difficult to manipulate them accurately due to their own flexibilities. In the biologic systems, the muscles are controlled by the spinal cord and cerebellum at the lowest level. Due to those control systems, we can manipulate our limbs as intended. Thus, this paper attempts to develop a new trajectory tracking controller for the tendon driven robot by integrating the computational models of the spinal cord and cerebellum in the same manner as the biological system. The proposed controller consists of the reflex control inputs composed of the delayed force feedback and PD position error feedback, and the adaptive controller which estimates and eliminates the excess reflex component of reflexes caused by the inertial force. The asymptotic stability of the controlled system is proven along the Liapunov-Krasovskii stability theorem. The effectiveness of the proposed controller and the dependence of the control performance on delays are examined through some computer simulations.

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Bio-mimetic Trajectory Tracking Control of Tendon driven Robot Using Delayed Force Feedback

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Optimal Planning of Public Pension System under Uncertainty for Realizing Intergenerational Equity and Financial Sustainability

Daisuke BANJO, Hiroyuki TAMURA, Tadahiko MURATA

pp. 396-403

DOI:

10.5687/iscie.20.396

Abstract

In this paper, we propose a generation-based funding scheme of the public pension system in order to cope with the intergenerational inequity and financial failure. We simulate the variation of contribution-benefit ratio and government contribution in order to analyze the intergenerational equity and financial sustainability. It is shown that the generation-based funding scheme could keep the fixed contribution-benefit ratio and the same government contribution as today or less.

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Optimal Planning of Public Pension System under Uncertainty for Realizing Intergenerational Equity and Financial Sustainability

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Ris

Nonlinear Independent Component Analysis Using State-space Models

Shuichi FUKUNAGA, Kenji FUJIMOTO

pp. 404-412

DOI:

10.5687/iscie.20.404

Abstract

This paper proposes an independent component analysis method using state-space models. Firstly, a learning algorithm to estimate the parameters of the output function of the model is derived based on the property that the probability density function of the output of the model only depends on that of the input and the direct feedthrough term of the model. Secondly, the parameters of the dynamic equation are estimated by the information backpropagation method. Thirdly, since many systems such as mechanical systems do not have any direct feedthrough term, we extend the proposed algorithm to systems without direct feedthrough terms. Furthermore, a numerical simulation demonstrates the effectiveness of the proposed method.

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Nonlinear Independent Component Analysis Using State-space Models

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Control Method for Non-Minimum Phase Systems Based on Choice of Time to Start Control

Hiroshi OKAJIMA, Toru ASAI

pp. 413-415

DOI:

10.5687/iscie.20.413
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Control Method for Non-Minimum Phase Systems Based on Choice of Time to Start Control

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Passivity based Energy Control of an Inertia Wheel Pendulum via Time-varying Virtual Constraints

Kenji FUJIMOTO, Shinya MATSUMOTO, Satoru SAKAI

pp. 416-418

DOI:

10.5687/iscie.20.416
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Passivity based Energy Control of an Inertia Wheel Pendulum via Time-varying Virtual Constraints

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