In this paper time-domain models for sensitivity analysis of linear systems have been developed. The procedures for developing those models are quite similar to the formulation of state models which are based on graph-theoretic concepts. Sensitivity analysis with respect to variations in component values, the initial conditions and the driving functions appear as three different facets of the same analytical procedure. These models admit a very convenient interpretation in terms of networks which properly can be exploited for digital computer studies. Additionally, attention is focused on developing sensitivity models for three specific types of interconnection, viz. parallel, cascade and feedback. On the basis of these models, the effect o...
A measure of sensitivity is introduced into the performance index of the optimal linear system. The ...
The purpose of this paper is to examine sensitivity and its frequency dependence in continuously equ...
The paper is focused on sensitivity analysis of large-scale models of biological systems that descri...
The paper describes direct techniques for the determination of the parameter sensitivity functions o...
In this paper the piecewise-linear (PWL) autonomous dynamical systems are described. The sensitivity...
The sensitivity of closed loop system s plane pole positions to variation of a system parameter is i...
This paper proposes a new statistical sensitivity of linear discrete-time state-space systems. The p...
206 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1972.U of I OnlyRestricted to the ...
The sensitivity of the s-plane pole position of a closed-loop system transfer function to variation ...
In this paper structural identifiability of state space models, possibly nonlinear in parameters, is...
Over-parameterized models - a complex systems can have simpler models if possible to measure their ...
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryJoint Services Electr...
We consider linear dynamical systems defined by differential algebraic equations. The associated inp...
Methods are presented for performing a rigorous sensitivity analysis of numerical problems with inde...
Sensitivities are shown to play a key role in a highly efficient algorithm, presented in this paper,...
A measure of sensitivity is introduced into the performance index of the optimal linear system. The ...
The purpose of this paper is to examine sensitivity and its frequency dependence in continuously equ...
The paper is focused on sensitivity analysis of large-scale models of biological systems that descri...
The paper describes direct techniques for the determination of the parameter sensitivity functions o...
In this paper the piecewise-linear (PWL) autonomous dynamical systems are described. The sensitivity...
The sensitivity of closed loop system s plane pole positions to variation of a system parameter is i...
This paper proposes a new statistical sensitivity of linear discrete-time state-space systems. The p...
206 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1972.U of I OnlyRestricted to the ...
The sensitivity of the s-plane pole position of a closed-loop system transfer function to variation ...
In this paper structural identifiability of state space models, possibly nonlinear in parameters, is...
Over-parameterized models - a complex systems can have simpler models if possible to measure their ...
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryJoint Services Electr...
We consider linear dynamical systems defined by differential algebraic equations. The associated inp...
Methods are presented for performing a rigorous sensitivity analysis of numerical problems with inde...
Sensitivities are shown to play a key role in a highly efficient algorithm, presented in this paper,...
A measure of sensitivity is introduced into the performance index of the optimal linear system. The ...
The purpose of this paper is to examine sensitivity and its frequency dependence in continuously equ...
The paper is focused on sensitivity analysis of large-scale models of biological systems that descri...