NDLI: Sensitivity analysis of large linear networks using symbolic programs

Content Provider	IEEE Xplore Digital Library
Author	Lin, P.M.
Copyright Year	1992
Description	Author affiliation: Purdue Univ., West Lafayette, IN, USA (Lin, P.M.)
Abstract	Partial derivatives of a network function H(x) with respect to the parameters x=(x/sub 1/, x/sub 2/,,,,x/sub n/) are useful in the design of linear networks by optimization and in tolerance analysis. Existing methods for calculating these derivatives include the sensitivity network method, the adjoint network method, and the symbolic network function method. In recent years, several new methods have been developed for symbolic analysis of large linear networks. The new methods express the symbolic answer in the form of a sequence of expressions. The author investigates the calculation of the derivatives based on the sequence of expressions. Two methods are presented. The first method derives another sequence of expressions for each sensitivity function. The second method utilizes a 3-point formula to determine the coefficients in the bilinear function from which the sensitivity function is calculated.<>
Starting Page	1145
Ending Page	1148
File Size	283974
Page Count	4
File Format	PDF
ISBN	0780305930
DOI	10.1109/ISCAS.1992.230324
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-05-10
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensitivity analysis Transfer functions Design optimization Tolerance analysis Frequency Impedance Laplace equations Steady-state Circuit analysis Computer networks
Content Type	Text
Resource Type	Article

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