カルマンフィルタおよび多重仮説検定を用いた応答曲面近似式の高精度化手法の提案

概要

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Response surface methodology has been used in the optimum design and reliability design. However, the response surface approximation may have uncertainty in the case when the reasonable interactive terms are not taken into account. In this paper, a new updating method for the response surface approximation is proposed. This method is based on Kalman filter and multiplex hypothetical official approval. The response surface approximation with uncertainty can be updated using a new method. From the application to examples, it is indicated that in the case that some response surface approximations for design space were stored and many sampling data from these approximations can be generated easily, the information of the design variables such as interaction among variables can be extracted and the reasonable response surface models can be identified by applying various response surface models with many interactive terms actively.状態量推定アルゴリズムのカルマンフィルタとベイズの定理に基づく多重仮説検定を用いて，応答曲面モデルを部分空間の応答曲面近似式より算出されたサンプリング点を元に，逐次更新・算定する方法を試みた．
2003-07-25