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• W2165836782 abstract "This paper presents theory for multivariable system identification using matrix fraction descriptions and the matrix continued fraction description approach which, in turn, yields a lattice-type order-recursive structure. Once the matrix continued-fraction expansion has been determined, it is straightforward to obtain solutions to both the left and right coprime factorizations of transfer function estimates and, in addition, a solution to problems of state estimation (observer design) and pole-assignment control. An important and attractive technical property is that calculation of transfer functions on the form of right and left coprime factorizations; calculation of state variable observers,and regulators all can be made using causal polynomial transfer functions defined by means of matrix sequences of the continued-fraction expansion applied in causal and stable forward-order and backward-order recursions.< <ETX xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>></ETX>" @default.
• W2165836782 created "2016-06-24" @default.
• W2165836782 creator A5084540714 @default.
• W2165836782 date "1995-03-01" @default.
• W2165836782 modified "2023-10-16" @default.
• W2165836782 title "Multivariable system identification via continued-fraction approximation" @default.
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• W2165836782 doi "https://doi.org/10.1109/9.376070" @default.
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