システム制御情報学会論文誌

論文

ネットワーク形成に対する関連均衡と実験

西﨑一郎, 林田智弘, 神原李佳

2012 年 25 巻 7 号 p. 163-171
発行日: 2012年
公開日: 2012/10/15

DOIhttps://doi.org/10.5687/iscie.25.163

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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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外乱推定による連続時間モデル予測制御のオフセット補償

櫻井優太, 大塚敏之

2012 年 25 巻 7 号 p. 172-180
発行日: 2012年
公開日: 2012/10/15

DOIhttps://doi.org/10.5687/iscie.25.172

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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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車車間・車路間通信の下での車群衝突回避可能性解析

高木拓人, 畑中健志, 藤田政之

2012 年 25 巻 7 号 p. 181-188
発行日: 2012年
公開日: 2012/10/15

DOIhttps://doi.org/10.5687/iscie.25.181

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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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