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Transactions of the Institute of Systems, Control and Information Engineers Vol. 20 (2007), No. 4

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. 36 (2023)

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  2. Vol. 35 (2022)

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  3. Vol. 34 (2021)

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  4. Vol. 33 (2020)

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  5. Vol. 32 (2019)

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  6. Vol. 31 (2018)

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  8. Vol. 29 (2016)

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  9. Vol. 28 (2015)

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  11. Vol. 26 (2013)

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  12. Vol. 25 (2012)

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  17. Vol. 20 (2007)

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  23. Vol. 14 (2001)

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  25. Vol. 12 (1999)

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  26. Vol. 11 (1998)

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  27. Vol. 10 (1997)

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  28. Vol. 9 (1996)

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  29. Vol. 8 (1995)

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  30. Vol. 7 (1994)

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  31. Vol. 6 (1993)

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  32. Vol. 5 (1992)

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  33. Vol. 4 (1991)

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  34. Vol. 3 (1990)

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  35. Vol. 2 (1989)

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  36. Vol. 1 (1988)

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Transactions of the Institute of Systems, Control and Information Engineers Vol. 20 (2007), No. 4

Path-Following Control Based on Difference Between Trajectories

Hiroshi OKAJIMA, Toru ASAI

pp. 133-143

DOI:

10.5687/iscie.20.133

Abstract

This paper deals with path-following control. In existing path-following methods, velocity of e.g. vehicles has been often given as reference inputs. However, velocity is tied in with other tracking characteristics and there exist trade-offs between velocity, tracking errors, control costs and so on. To deal with the trade-offs explicitly, we first formulate a cost function based on difference between a reference path and trajectories of vehicle motion. The difference is modeled in terms of dynamics of curvature. This formulation enables us to deal with trade-offs among tracking error, reaching time and control costs. The control input can be given by solving a two point boundary problem numerically. The effectiveness of the proposed method is examined by numerical examples.

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Path-Following Control Based on Difference Between Trajectories

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Robust Stability Analysis Method Using Virtual Parametric Variations

Yuichi CHIDA, Takeo KIMURA, Ryo FURUKAIKA

pp. 144-151

DOI:

10.5687/iscie.20.144

Abstract

In this paper, a robust stability analysis problem is considered. μ-Analysis is a useful tool in order to guarantee stability robustness, but obtained results by conventional procedures are sometimes conservative. On the other hand, to guarantee stability robustness of active control systems in space is extremely important. A new robust stability analysis procedure by using virtual parametric variations is proposed in order to carry out tight evaluation of the stability robustness for active control systems. Performance of the proposed procedure is verified by an example of a mechanical vibration control system.

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Robust Stability Analysis Method Using Virtual Parametric Variations

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Stability Conditions for Nonlinear Descriptor Systems

Teruyo WADA, Masao IKEDA, Eiho UEZATO

pp. 152-159

DOI:

10.5687/iscie.20.152

Abstract

Descriptor equations have much more flexibility in describing nonlinear systems than state equations. In this paper, based on the Lyapunov's direct method, stability conditions are developed for nonlinear descriptor systems. An existence condition of solutions of descriptor equations is also derived. The results remove the differentiability assumptions on nonlinearities in descriptor equations, which are required in the existing works. As an application of the conditions, stability analysis of a Lur'e-type feedback system whose linear part has a direct path is considered by using a descriptor expression.

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Stability Conditions for Nonlinear Descriptor Systems

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Bio-Mimetic Control of Inverted Pendulum Systems with Time-Delay

Shun USHIDA, Ken-ichiro FUKUDA, Jina LEE, Koichiro DEGUCHI

pp. 160-166

DOI:

10.5687/iscie.20.160

Abstract

An image-based inverted pendulum control system with a large time delay of camera has some analogies with human stick balancing control. Cabrera and his group pointed out that time delays and state-dependent fluctuations play an essential role in neural control mechanism. In this paper, we investigate some properties of the time delays and the fluctuations using our new model which is consistent with the actual inverted pendulum control system. For noise free case, a sufficient condition for the stability of our time-delayed control system is derived.

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Bio-Mimetic Control of Inverted Pendulum Systems with Time-Delay

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Just-In-Time Control of Image-Based Inverted Pendulum Systems with a Time-Delay as a Human Motor Control Simulator

Ken-ichiro FUKUDA, Shun USHIDA, Koichiro DEGUCHI

pp. 167-173

DOI:

10.5687/iscie.20.167

Abstract

Humans can keep a stick on the fingertip upright position for a certain time after a brief exercise, although we have a large time delay due to the signal transfer in the optic nerve and due to information processing in the brain. Correspondingly in an experiment on the stabilization of the mechanical inverted pendulum, we use a normal frame rate camera as an angle sensor of the pendulum, and its large time delay makes the stabilization difficult. How can humans compensate the large time delay? In order to answer this question, we apply Just-In-Time method to the inverted pendulum control system. This memory-based scheme corresponds to the mechanism of human learning and memory. This method can stabilize the inverted pendulum for a certain amount of time just like humans. An analysis of the behavior of the pendulum may give an interpretation for the motor control mechanism of human.

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Just-In-Time Control of Image-Based Inverted Pendulum Systems with a Time-Delay as a Human Motor Control Simulator

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