Results 211 to 220 of about 1,256,091 (266)
No Significant Difference Is Not Equivalence: Statistical Considerations on Phenylephrine Requirement in Left-Tilt versus Supine Cesarean Delivery [Response to Letter]. [PDF]
Drug Des Devel TherYu XQ, Xiao F.
europepmc +1 more source
Robust finite-time anti-swing control for quadrotor slung-load system based on compensation function observer. [PDF]
PLoS OneYu X +5 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Analytical robustness assessment for robust design
Structural and Multidisciplinary Optimization, 2006Robust design ensures product performances to be insensitive to various uncertainties and therefore results in high quality and productivity. Robustness assessment, which evaluates the variability of performances, is an important and indispensable component of robust design.
Xiaoping Du, Du Xiaoping
exaly +2 more sources
Journal of Financial Economics, 2021 Abstract We model the design of a benchmark fixing as an estimator of fair market value. The fixing data are the transactions of agents whose profits depend on the fixing, implying incentives for manipulation. We derive the optimal linear fixing under an assumption that transaction weights are unidimensional.
Darrell Duffie, Piotr Dworczak
openaire +1 more source
Robust Design for robustness of design variables
2017 IEEE International Conference on Mechatronics and Automation (ICMA), 2017There are a lot of studies on Robust Design which treat robucstness only for objective function and/or for considering not to break constraints. But most likely, we would like to have solution which are unchanged even with small perturbation in design conditions such as design parameters.
Takahisa Kobayashi, Masao Arakawa
openaire +1 more source
2013 IEEE International Conference on Communications (ICC), 2013
In this paper, we address the problem of robust network design. Robustness is defined as the minimizing variations in network performance, such as average delay and throughput, due to the perturbations in the network, e.g. topology, demand and community of interest.
Armin Ghayoori, Alberto Leon-Garcia
openaire +1 more source
In this paper, we address the problem of robust network design. Robustness is defined as the minimizing variations in network performance, such as average delay and throughput, due to the perturbations in the network, e.g. topology, demand and community of interest.
Armin Ghayoori, Alberto Leon-Garcia
openaire +1 more source
Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001
This paper describes a robust design method that can give a valid description and analysis to a certain kind of parameter uncertainties in concurrent design. The mathematical model, which reflects the requirements of the robust design, is given in the paper.
Guangleng Xiong, Tao Li
openaire +1 more source
This paper describes a robust design method that can give a valid description and analysis to a certain kind of parameter uncertainties in concurrent design. The mathematical model, which reflects the requirements of the robust design, is given in the paper.
Guangleng Xiong, Tao Li
openaire +1 more source
9th EUROMICRO Conference on Digital System Design (DSD'06), 2006
Embedded systems, ubiquitous computing and networked architectures are getting more and more important within our society. System parts are often completely implemented as integrated circuits (SoC = System on chip). Consequently, their complexity and heterogeneity have grown dramatically in the recent past.
Markus Damm, Klaus Waldschmidt
openaire +1 more source
Embedded systems, ubiquitous computing and networked architectures are getting more and more important within our society. System parts are often completely implemented as integrated circuits (SoC = System on chip). Consequently, their complexity and heterogeneity have grown dramatically in the recent past.
Markus Damm, Klaus Waldschmidt
openaire +1 more source
Robustness in Experiment Design
IEEE Transactions on Automatic Control, 2012This paper focuses on the problem of robust experiment design, i.e., how to design an input signal which gives relatively good estimation performance over a large number of systems and model structures. Specifically, we formulate the robust experiment design problem utilizing fundamental limitations on the variance of estimated parametric models as ...
Cristian R. Rojas +4 more
openaire +1 more source
Formulations for Robust Design and Inverse Robust Design
2018In order to apply Robust Design Optimization to problems of industrial relevance, characterized by large number of variables and high computational effort, it is important to define the best strategy to solve every kind of problem. Different approaches are here presented, including multi-objective optimization and reliability optimization, based on ...
Alberto Clarich, Rosario Russo
openaire +1 more source