By Hideo Nakamura (auth.), Hirotugu Akaike, Genshiro Kitagawa (eds.)
Due to the advent of the knowledge criterion AIC and improvement of prac tical use of Bayesian modeling, the tactic of time research is now displaying notable growth. In trying the examine of a brand new box the particular phenomenon isn't as simple as to permit direct functions of latest tools of study or types. the genuine thrill of the statistical research lies within the technique of constructing a brand new version reckoning on the aim and the features of the thing of the learn. the aim of this publication ist.o introduce the readers to profitable purposes of the meth ods of time sequence research in various fields, comparable to engineering, earth technological know-how, clinical technology, biology, and economics. The editors were conscious of the significance of cooperative examine in sta tistical technology and conducted a number of cooperative study tasks within the quarter of time sequence research. The Institute of Statistical arithmetic was once reorganized as an inter-university examine institute in 1985 and the actions of the Institute were prepared to advertise the cooperative researches as its significant task. This e-book consists of the results of cooperative researches constructed inside this environ ment and includes the consequences starting from the pioneering realizations of statistical keep watch over to the newest outcomes of time sequence modeling.
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In short, C is controlled directly by A, but is indirectly controlled by B as well. On the other hand, C never contributes to the power of A and B. Therefore it might be stated that C is uni-directionally controlled by A and B. 10. 12 shows the estimated impulse response. Here, the solid line indicates the impulse response of the closed system, whereas the dotted line denotes the response of the open system. First of all, let attention be paid to the solid line. When the impulse input is applied to A, the influence of the impulse is transferred to B with a delay.
5 Application Results at Actual Plants In this section, some results demonstrating the performance of the proposed optimal control system obtained at actual power plants are introduced. 9 shows a portion of the chart recorded at a 500MW oil-fired supercritical thermal power plant in routine operation. In this figure, the optimal control signals from the computer are added to the conventional PID control system at the time points shown with the arrow marks. As can be seen in the figure, the control performance of the steam temperatures at the outlets of the superheater, the reheater, and also of the primary superheater is remarkably improved by applying the optimal control system.
3) In connection with the problematic points concerning the total factor productivity and production function, refer to Kuroda (1984). 6) where ARt is the AR process corresponding to the business fluctuations, and Nt is the observation noise component expressed by the white noise. In actual estimation, the above equation is modified as yt logKt Lt logTFPt + Wtlog - Kt + ARt + Nt. 7) Here we should take attention to the following point. While (the number of the workers) x (the total labor hours) should be used for the labor input with the estimation of the ordinary production function, (the private enterprise capital stock) x (equipment operation rate) should be used for the capital stock.