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Transactions of the Institute of Systems, Control and Information Engineers Vol. 25 (2012), No. 7

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. 37 (2024)

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  5. Vol. 33 (2020)

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  6. Vol. 32 (2019)

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  7. Vol. 31 (2018)

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  10. Vol. 28 (2015)

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  11. Vol. 27 (2014)

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  12. Vol. 26 (2013)

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  13. Vol. 25 (2012)

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  14. Vol. 24 (2011)

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  15. Vol. 23 (2010)

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  17. Vol. 21 (2008)

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  23. Vol. 15 (2002)

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  24. Vol. 14 (2001)

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  25. Vol. 13 (2000)

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  26. Vol. 12 (1999)

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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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  31. Vol. 7 (1994)

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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)

    1. No.7
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    3. No.5
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Transactions of the Institute of Systems, Control and Information Engineers Vol. 25 (2012), No. 7

Correlated Equilibrium in Network Formation and its Experiment

Ichiro Nishizaki, Tomohiro Hayashida, Rika Kambara

pp. 163-171

DOI:

10.5687/iscie.25.163

Abstract

So far, it has been tried to explain the behavior on experimental subjects in experiments on network formation by a solution concept of the strict Nash equilibrium. In this paper, we consider the correlated equilibrium for network formation which is a solution concept based on stability in terms of expected payoff maximization assuming coordination or implicit agreement between players. To examine its validity, we conduct a laboratory experiment and try to explain the behavior of the experimental subjects. As a result of the experiment, we find that although the explanation by the strict Nash equilibrium is difficult, it is possible to explain by the correlated equilibrium or inequity aversion.

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Correlated Equilibrium in Network Formation and its Experiment

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Ris

Offset Compensation of Continuous Time Model Predictive Control by Disturbance Estimation

Yuta Sakurai, Toshiyuki Ohtsuka

pp. 172-180

DOI:

10.5687/iscie.25.172

Abstract

In this paper, an offset compensation method for a continuous-time model predictive control (MPC) is proposed. To achieve offset-free control, additional disturbance states are introduced and the target for MPC is modified based on the estimate of disturbances. The property of steady-state deviation depends on the dimension of the additional disturbance states. An algorithm has already been proposed for discrete-time MPC to achieve zero offset when the model is augmented by disturbance states of the same dimension as tracked variables. We extend this algorithm to continuous-time MPC. A simulation result with the proposed algorithm for a nonlinear tank system is shown.

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Offset Compensation of Continuous Time Model Predictive Control by Disturbance Estimation

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Collision Avoidability Analysis of Vehicle Platoon under V2V2I Communication

Takuto Takagi, Takeshi Hatanaka, Masayuki Fujita

pp. 181-188

DOI:

10.5687/iscie.25.181

Abstract

This paper addresses collision avoidability analysis of a platoon of vehicles under Vehicle-to-Vehicle-to-Infrastructure(V2V2I) communication. We first present a system consisting of vehicular strings and infrastructure in connection. Each vehicle drives automatically connecting others under Vehicle-to-Vehicle(V2V) communication, infrastructure inputs desired inter-vehicular distance to platoon to control safety under Vehicle-to-Infrastructure(V2I) communication. Then we analyze collision avoidability of the vehicle platoon, where we show relationship between communication structure and controllability of safety from infrastructure.

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Collision Avoidability Analysis of Vehicle Platoon under V2V2I Communication

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