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Robust network design

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
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Robust concurrent design

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
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Robustness in SOC Design

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
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Robustness in Experiment Design

IEEE Transactions on Automatic Control, 2012
This 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
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Product Robust Design and Process Robust Design: Are They the Same? (No.)

Quality Engineering, 2003
Abstract Taguchi's ideas of robust parameter design motivated the development of the dual‐response approach, where both the mean and the variance of the quality response are modeled in terms of the design parameters and noise factors. These are then used to identify optimal settings that achieve the dual objective of optimizing the signal (the mean ...
Haim Shore, Ram Arad
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Formulations for Robust Design and Inverse Robust Design

2018
In 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
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Robust System Design

2010 23rd International Conference on VLSI Design, 2010
Robust system design ensures that future systems continue to meet user expectations despite rising levels of underlying disturbances. This paper discusses two essential aspects of robust system design: 1. Effective post-silicon validation, despite staggering complexity of future systems, using a new technique called Instruction Footprint Recording and ...
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Designing robust microarchitectures

Proceedings of the 41st annual Design Automation Conference, 2004
A fault-tolerant approach to microprocessor design, developed at the University of Michigan, is presented. Our approach is based on the use of in-situ checker components that validate the functional and electrical characteristics of complex microprocessor designs. Two design techniques are highlighted: a low-cost double-sampling latch design capable of
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I-robust and D-robust designs on a finite design space

Statistics and Computing, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Analytical robustness assessment for robust design

Structural and Multidisciplinary Optimization, 2006
Robust 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.
Beiqing Huang, Xiaoping Du
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