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Furuta, Hitoshi 한국전산구조공학회 1996 전산구조공학 Vol.9 No.3
본문에서는 우선 뉴럴네트워크의 기본원리와 그 특징에 대해서 논하고, 다음으로 몇 개의 적용 예를 소개하며, 구조공학분야에 있어서의 유용성에 대하여 기술한다.
Self-Tuning Control for Ratational Speed of Slider-Crank Mechanism
Hitoshi SAITO,Jun ISHIKAWA,Tetsuo SHIOTSUKI,Katsuhisa FURUTA 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper proposes a self_tuning control method based on generalized minimum variance control for rotational speed control of a slider_crank mechanism. Dynamic characteristics of the slider_crank mechanism significantly changes depending on the wheel rotational angle. Thus, to achieve a good control performance, it is necessary for the plant parameters to be identified at the each section divided into six by the wheel angle. This kind of control based on the local modeling is useful not only for such a slikder_crank mechanism but also for highly_accurate positioning control systems with significant nonlinearity. The validity of the proposed method is verified through simulations and experiments.
He, Xingwen,Kawatani, Mitsuo,Hayashikawa, Toshiro,Kim, Chul-Woo,Catbas, F. Necati,Furuta, Hitoshi Techno-Press 2014 Smart Structures and Systems, An International Jou Vol.13 No.5
In this study, a damage detection approach using train-induced vibration response of the bridge is proposed, utilizing only direct structural analysis by means of introducing soft computing methods. In this approach, the possible damage patterns of the bridge are assumed according to theoretical and empirical considerations at first. Then, the running train-induced dynamic response of the bridge under a certain damage pattern is calculated employing a developed train-bridge interaction analysis program. When the calculated result is most identical to the recorded response, this damage pattern will be the solution. However, owing to the huge number of possible damage patterns, it is extremely time-consuming to calculate the bridge responses of all the cases and thus difficult to identify the exact solution quickly. Therefore, the soft computing methods are introduced to quickly solve the problem in this approach. The basic concept and process of the proposed approach are presented in this paper, and its feasibility is numerically investigated using two different train models and a simple girder bridge model.
Xingwen He,Mitsuo Kawatani,Toshiro Hayashikawa,Chul-Woo Kim,F. Necati Catbas,Hitoshi Furuta 국제구조공학회 2014 Smart Structures and Systems, An International Jou Vol.13 No.5
In this study, a damage detection approach using train-induced vibration response of the bridge is proposed, utilizing only direct structural analysis by means of introducing soft computing methods. In this approach, the possible damage patterns of the bridge are assumed according to theoretical and empirical considerations at first. Then, the running train-induced dynamic response of the bridge under a certain damage pattern is calculated employing a developed train-bridge interaction analysis program. When the calculated result is most identical to the recorded response, this damage pattern will be the solution. However, owing to the huge number of possible damage patterns, it is extremely time-consuming to calculate the bridge responses of all the cases and thus difficult to identify the exact solution quickly. Therefore, the soft computing methods are introduced to quickly solve the problem in this approach. The basic concept and process of the proposed approach are presented in this paper, and its feasibility is numerically investigated using two different train models and a simple girder bridge model.