The purpose of this paper is to examine sensitivity and its frequency dependence in continuously equivalent networks. First, continuously equivalent network theory and different methods of sensitivity calculations are presented. Then, recent results on minimum sensitivity networks are discussed and, as an extension, the frequency dependence of the sensitivity in equivalent networks is studied. As a method of calculation a new development using linear graph theory is applied. This allows efficient, repeated sensitivity calculation for different frequencies using a digital computer
We present two sensitivity function trade-offs that apply to a class of networks with a string topol...
In this thesis the use of the digital computer in determining the steady-state response of nonlinear...
Sensitivity analysis of network reliability using Monte Carlo (revision 1, Dec. 17, 2005) We analyze...
An efficient method for computing the frequency response of linear networks is presented. Observing ...
An investigation of the characteristics of some commonly occuring frequency response loci is given a...
The paper presents novel universal approach to the determination of sensitivity functions for recurr...
In this paper time-domain models for sensitivity analysis of linear systems have been developed. The...
A theoretical foundation is presented for the efficient computation of tirst- and second-order sensi...
The paper presents a new method of obtaining first order differential sensitivities of t...
Signals and datasets that arise in physical and engineering applications, as well as social, genetic...
The sensitivity of a neural network's output to its input perturbation is an important issue with bo...
Abstract:- The paper proposes an original method for determination of the sensitivities for two-port...
(a)-(c) Results of HSN, CCSN, and AMRN networks, respectively, using the identicalness-based sensiti...
For any realization of a network function F(s) = N(s)/D(s), the sensitivities that can be most readi...
Formulas of sensitivity are reviewed, and. Kuo's definition of network sensitivity is used, to devel...
We present two sensitivity function trade-offs that apply to a class of networks with a string topol...
In this thesis the use of the digital computer in determining the steady-state response of nonlinear...
Sensitivity analysis of network reliability using Monte Carlo (revision 1, Dec. 17, 2005) We analyze...
An efficient method for computing the frequency response of linear networks is presented. Observing ...
An investigation of the characteristics of some commonly occuring frequency response loci is given a...
The paper presents novel universal approach to the determination of sensitivity functions for recurr...
In this paper time-domain models for sensitivity analysis of linear systems have been developed. The...
A theoretical foundation is presented for the efficient computation of tirst- and second-order sensi...
The paper presents a new method of obtaining first order differential sensitivities of t...
Signals and datasets that arise in physical and engineering applications, as well as social, genetic...
The sensitivity of a neural network's output to its input perturbation is an important issue with bo...
Abstract:- The paper proposes an original method for determination of the sensitivities for two-port...
(a)-(c) Results of HSN, CCSN, and AMRN networks, respectively, using the identicalness-based sensiti...
For any realization of a network function F(s) = N(s)/D(s), the sensitivities that can be most readi...
Formulas of sensitivity are reviewed, and. Kuo's definition of network sensitivity is used, to devel...
We present two sensitivity function trade-offs that apply to a class of networks with a string topol...
In this thesis the use of the digital computer in determining the steady-state response of nonlinear...
Sensitivity analysis of network reliability using Monte Carlo (revision 1, Dec. 17, 2005) We analyze...