An analytical differential equation model from a single simulation input and output data vector is derived. The derived model is analytically varied (real versus imaginary) to determine Critical, Sensitive, and Key parameters without the use of Design of Experiments (DOE)
<p>(a) Dependence of Parameter A (DS-1) (b) Dependence of Parameter a (DS-1) (c) Dependence of Param...
Sensitivity analysis in the statistical identification of dynamic models uses the first partial deri...
Simulated datasets in the sensitivity analysis with the true parameters that generated the data
Sensitivity analysis generates essential information for model development, design optimization, par...
Systems of differential-algebraic equations (DAEs) are a natural description for mathematical models...
<p>Parameter values used in model. Parameters used in the sensitivity analysis were drawn from unifo...
Simulation of any physical process requires definition of the physical model, method – analytical or...
This paper presents an exploration into parameter sensitivity analysis in mathematical modeling usin...
Differential models, numerical methods and computer simulations play a fundamental role in applied s...
Kuhl, Michael and Lim, Sun, "Sensitivity analysis of simulation output to parameters of nonhomo...
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryJoint Services Electr...
Parameter sensitivity analysis is a relatively well-developed field compared with function sensitivi...
Abstract: The analysis of parameter sensitivity in environmental models is an excellent technique to...
AbstractFor models frequently encountered in system dynamics a method is derived to find the directi...
Mathematical models based upon certain types of differential equations, functional differential equa...
<p>(a) Dependence of Parameter A (DS-1) (b) Dependence of Parameter a (DS-1) (c) Dependence of Param...
Sensitivity analysis in the statistical identification of dynamic models uses the first partial deri...
Simulated datasets in the sensitivity analysis with the true parameters that generated the data
Sensitivity analysis generates essential information for model development, design optimization, par...
Systems of differential-algebraic equations (DAEs) are a natural description for mathematical models...
<p>Parameter values used in model. Parameters used in the sensitivity analysis were drawn from unifo...
Simulation of any physical process requires definition of the physical model, method – analytical or...
This paper presents an exploration into parameter sensitivity analysis in mathematical modeling usin...
Differential models, numerical methods and computer simulations play a fundamental role in applied s...
Kuhl, Michael and Lim, Sun, "Sensitivity analysis of simulation output to parameters of nonhomo...
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryJoint Services Electr...
Parameter sensitivity analysis is a relatively well-developed field compared with function sensitivi...
Abstract: The analysis of parameter sensitivity in environmental models is an excellent technique to...
AbstractFor models frequently encountered in system dynamics a method is derived to find the directi...
Mathematical models based upon certain types of differential equations, functional differential equa...
<p>(a) Dependence of Parameter A (DS-1) (b) Dependence of Parameter a (DS-1) (c) Dependence of Param...
Sensitivity analysis in the statistical identification of dynamic models uses the first partial deri...
Simulated datasets in the sensitivity analysis with the true parameters that generated the data