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- W2526479511 abstract "In this paper we present a new algorithm for obtaining the optimal approximation of high-order linear continuous time systems. The reduced-order model is determined by a recuraive optimization procedure which minimizes a positive definite function of the integral squared impulse response error between the full and reduced-order model. The proposed optimization algorithm involving the performance index of the complicated nonlinear type is formulated in terms of linear equations which can be easily solved in a recursive manner. By introducing a Routh table and its reverse elimination procedure for solving the linear equations, the computational efficiency is greatly improved." @default.
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- W2526479511 date "1999-01-01" @default.
- W2526479511 modified "2023-09-27" @default.
- W2526479511 title "An Efficient Algorithm For Optimal Model Reduction" @default.
- W2526479511 doi "https://doi.org/10.1080/02286203.1999.11760437" @default.
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