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An integrated SMC-NADRC robust control approach for electric power steering systems considering nonlinear friction and parametric uncertainties. [PDF]

PLoS One
Nguyen TA, Nguyen DN.
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LogitBoost with errors-in-variables

Computational Statistics & Data Analysis, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Joseph Sexton, Petter Laake
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Error checking with pointer variables

Proceedings of the annual conference on - ACM 76, 1976
The use of pointer variables in a programming language often results in a difficult class of errors to detect. Pointers may point to storage that no longer is allocated, or storage may be allocated as one data type and accessed as another. This report describes the implementation of pointers in the PLUM PL/1 compiler such that all error conditions are ...
Marvin V. Zelkowitz, Paul R. McMullin, Keith R. Merkel, Howard J. Larsen   +3 more
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Optimal errors-in-variables filtering

Automatica, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guidorzi R., Diversi R., Soverini U.
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Dynamic errors-in-variables systems with three variables

Automatica, 1987
Errors-in-variables problems are considered for the case of three variables, where the underlying relations among the noise-free variables are linear, and covariance information for the noisy variables is available. The static problem where the variables are complex (which can arise when narrowband filtering is used) is analyzed in detail. Some results
Brian D. O. Anderson, Manfred Deistler
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On the identifiability of errors-in-variables models with white measurement errors

Automatica, 2011
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BOTTEGAL, GIULIO, PICCI, GIORGIO, PINZONI, STEFANO   +2 more
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Identifiability of errors in variables dynamic systems

Automatica, 2006
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Juan C. Agüero, Graham C. Goodwin
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Errors in Variables

1987
This essay surveys the history and recent developments on economic models with errors in variables. These errors may arise from the use of substantive unobservables, such as permanent income, or from ordinary measurement problems in data collection and processing.
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A Note on an 'Errors in Variables' Model

Journal of the American Statistical Association, 1966
Abstract We consider an errors in variables model in which the ‘true’ part of the determining variable is generated by a simple forecasting mechanism. It is shown that the Least Squares errors in variables bias can be interpreted in terms of the parameters of the forecasting mechanism; and that the ‘standard’ result for this bias may no longer hold in ...
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