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Robust finite-time anti-swing control for quadrotor slung-load system based on compensation function observer. [PDF]
Yu X +5 more
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Direct robust adaptive tracking control of electric vehicles based on radial basis function neural networks. [PDF]
Xiao X, Fang X.
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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
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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
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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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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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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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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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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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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, 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
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Product Robust Design and Process Robust Design: Are They the Same? (No.)
Quality Engineering, 2003Abstract 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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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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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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