Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
ISSN-L : 1342-5668
Volume 25 , Issue 7
Showing 1-3 articles out of 3 articles from the selected issue
  • Ichiro Nishizaki, Tomohiro Hayashida, Rika Kambara
    2012 Volume 25 Issue 7 Pages 163-171
    Published: 2012
    Released: October 15, 2012
    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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  • Yuta Sakurai, Toshiyuki Ohtsuka
    2012 Volume 25 Issue 7 Pages 172-180
    Published: 2012
    Released: October 15, 2012
    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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  • Takuto Takagi, Takeshi Hatanaka, Masayuki Fujita
    2012 Volume 25 Issue 7 Pages 181-188
    Published: 2012
    Released: October 15, 2012
    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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