Computational support of the engineering design process routinely requires mathematical models of behavior to inform designers of the system response to external stimuli. However, designers also need to know the effect of the changes in design variable values on the system behavior. For large engineering systems, the conventional way of evaluating these effects by repetitive simulation of behavior for perturbed variables is impractical because of excessive cost and inadequate accuracy. An alternative is described based on recently developed system sensitivity analysis that is combined with extrapolation to form a model of design. This design model is complementary to the model of behavior and capable of direct simulation of the effects of d...
A design sensitivity analysis method for Linear Quadratic Cost, Gaussian (LQG) optimal control laws,...
This introductory tutorial gives a survey on the use of statistical designs for what if-or sensitivi...
Simulations not only facilitate new and unprecedented insights in highly sophisticated science areas...
Mutual couplings among the mathematical models of physical phenomena and parts of a system such as a...
Quantification and management of uncertainty are critical in the design of engineering systems, espe...
Optimization by decomposition, complex system sensitivity analysis, and a rapid growth of disciplina...
Focused on efficient simulation-driven multi-fidelity optimization techniques, this monograph on sim...
Uncertainty in the input parameters to an engineering system may not only degrade the system’s perfo...
Actual design turn-around time has become shorter due to the use of optimization techniques which ha...
A computer program designed to simulate and improve engineering system design methodology is describ...
This chapter gives a survey on the use of statistical designs for what-if analysis in simula- tion, ...
The computational cost associated with the use of high-fidelity Computational Fluid Dynamics (CFD) m...
Interdisciplinary analysis capabilities have been developed for aeroservoelastic aircraft and large ...
AbstractThis Invited Lecture covers classic and modern designs, and their metamodels. Classic resolu...
Computer-Aided Design and system analysis aim to find mathematical models that allow emulating the b...
A design sensitivity analysis method for Linear Quadratic Cost, Gaussian (LQG) optimal control laws,...
This introductory tutorial gives a survey on the use of statistical designs for what if-or sensitivi...
Simulations not only facilitate new and unprecedented insights in highly sophisticated science areas...
Mutual couplings among the mathematical models of physical phenomena and parts of a system such as a...
Quantification and management of uncertainty are critical in the design of engineering systems, espe...
Optimization by decomposition, complex system sensitivity analysis, and a rapid growth of disciplina...
Focused on efficient simulation-driven multi-fidelity optimization techniques, this monograph on sim...
Uncertainty in the input parameters to an engineering system may not only degrade the system’s perfo...
Actual design turn-around time has become shorter due to the use of optimization techniques which ha...
A computer program designed to simulate and improve engineering system design methodology is describ...
This chapter gives a survey on the use of statistical designs for what-if analysis in simula- tion, ...
The computational cost associated with the use of high-fidelity Computational Fluid Dynamics (CFD) m...
Interdisciplinary analysis capabilities have been developed for aeroservoelastic aircraft and large ...
AbstractThis Invited Lecture covers classic and modern designs, and their metamodels. Classic resolu...
Computer-Aided Design and system analysis aim to find mathematical models that allow emulating the b...
A design sensitivity analysis method for Linear Quadratic Cost, Gaussian (LQG) optimal control laws,...
This introductory tutorial gives a survey on the use of statistical designs for what if-or sensitivi...
Simulations not only facilitate new and unprecedented insights in highly sophisticated science areas...