The purpose of this study is to develop a neuro process controller for use in a synthesis system of chemical reactions. Chemical reactions are very complex, it is difficult to control the reaction temperature. We developed new type of synthesis systems using a PID controller to control the temperature of the reaction. But, the PID controller was not useful for change of chemical dynamics. Therefore, in this research, a neural network is applied for controlling the temperature of the reaction. First, neural networks controller is constructed to control the temperature of the chemical reaction using an original evaluation function. Second, neural networks estimated suitable parameters for the original evaluation function. The effectiveness is examined through experiments. Finally, using the designed the neuro process controller, it is verified that it can efficiently control chemical reactions

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本研究では, サーボ特性を持つ内部モデル制御がLQ制御を併用することで, 優れた外乱除去特性を得ることができ, フィードフォワード項の選定を適切にすることで近似非干渉特性や目標値追従特性を有することを示す。また, オブザーバの併用による一般化内部モデル制御の構成方法も提案する。これらの方法が, 従来の最適サーボ系に比べ優れた外乱除去特性と追従性能を持つことをシミュレーションにより確認する。

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Recently, the progress of the robot for rescue and entertainment was remarkable, in which the robot diversity their activities. In this paper, I made the 8-legs robot which can do universal walking as model the spider. But, as for a walk, it is difficult to decide the optimum step gait pattern of 8-legs robot. Then, the most suitable step gait pattern is formed by using the genetic algorithm, and the realization of a walking and its efficacy are shown

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In transonic region where a shock wave is staying on the aircraft wing surface, flutter often behaves like a limit cycle oscillation (LCO). It has been observed in the wind tunnel tests that the flutter controlled by a linear feedback also behaves as LCO. The authors have developed a nonlinear mathematical model, by the nonlinear dynamics approach, which can explain the fundamental bifurcation phenomena observed in the tests. Applying a linear feedback control to the nonlinear mathematical model, the paper shows that the bifurcation of LCO for the closed loop system can be analyzed and estimated by a continuation method

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