| Co-Investigator(Kenkyū-buntansha) |
KASHIWAGI Masahide Waseda Univ. School of Sci.Eng.Research Assistant, 理工学部, 助手 (00257247)
YAMAMURA Kiyotaka Gumma Univ. School of Eng.Assistant Prof., 工学部, 助教授 (30182603)
OISHI Shin'ichi Waseda Univ.School of Sci.Eng.Prof., 理工学部, 教授 (20139512)
MATSUMOTO Takashi Waseda Univ. School of Sci.Eng.Prof., 理工学部, 教授 (80063767)
KAWASE Takehiko Waseda Univ.School of Sci.Eng.Prof., 理工学部, 教授 (60063690)
遠藤 靖典 早稲田大学, 理工学部, 助手 (10267396)
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| Budget Amount *help |
¥6,800,000 (Direct Cost: ¥6,800,000)
Fiscal Year 1994: ¥2,300,000 (Direct Cost: ¥2,300,000)
Fiscal Year 1993: ¥2,100,000 (Direct Cost: ¥2,100,000)
Fiscal Year 1992: ¥2,400,000 (Direct Cost: ¥2,400,000)
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| Research Abstract |
Recently, the study of nonlinear systems and nonlinear technologes has made a great advance. For example, the studies of optical fiber soliton communications, neural networks, fuzzy systems, analogue VLSI and so on have achieved much interests. Since such systems essentially use nonlinearity , new modelling techniques and reliable simulation techniques are required. Moreover, in the field of computer assisted design of nonlinear systems, it is very important to guarantee the accuracy of the result of calculation. For example, in the VLSI design, if we can validate the accuracy of modeling and numerical simulation, it enables to reduce the cost and period of design.
In this study, taking the accuracy of modeling into consideration, and guarantteng the accuracy of numerical simulation of the modeling, we have develpoed a numerical validation method through the total simulation process of nonlinear system.
In this year, we have improved the theory, algorithm and system developed until last year, and have made them more practical.
1.Effectiveness of our fuzzy modeling theory is confirmed by numerical simulation.
2.Automatic numerical validation method for general ordinary differential equations is developed. It provides a rigorous method for transient analysis.
3.Extending the technique used in all solution method for nonlinear equations, we have developed a inclusion method for solution sets of set-valued functions. It gives a more rigorous system analysing method together with modeling method with guaranteed accuracy .
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