Trustworthy Estimation and Control of Engine Knocking Level for Transient Operation

2017 ◽  
pp. 267-278
Author(s):  
Maxime Jean ◽  
Thomas Leroy ◽  
Fabien Vidal-Naquet
Keyword(s):  
Transient Operation ◽  
Estimation And Control ◽  
And Control

scholarly journals Interval observer design for estimation and control of time-delay descriptor systems

2015 ◽  
Vol 23 ◽  
pp. 26-35 ◽  
Author(s):  
Denis Efimov ◽  
Andrey Polyakov ◽  
Jean-Pierre Richard
Keyword(s):  
Time Delay ◽  
Observer Design ◽  
Descriptor Systems ◽  
Estimation And Control ◽  
Interval Observer ◽  
And Control

Using a Response Time–Based Expected A Posteriori Estimator to Control for Differential Speededness in Computerized Adaptive Test

2021 ◽  
pp. 014662162110146
Author(s):  
Justin L. Kern ◽  
Edison Choe
Keyword(s):  
Response Times ◽  
Real Data ◽  
Joint Estimation ◽  
Item Selection ◽  
A Posteriori ◽  
Computerized Adaptive Test ◽  
Maximum Information ◽  
Adaptive Test ◽  
Estimation And Control ◽  
And Control

This study investigates using response times (RTs) with item responses in a computerized adaptive test (CAT) setting to enhance item selection and ability estimation and control for differential speededness. Using van der Linden’s hierarchical framework, an extended procedure for joint estimation of ability and speed parameters for use in CAT is developed following van der Linden; this is called the joint expected a posteriori estimator (J-EAP). It is shown that the J-EAP estimate of ability and speededness outperforms the standard maximum likelihood estimator (MLE) of ability and speededness in terms of correlation, root mean square error, and bias. It is further shown that under the maximum information per time unit item selection method (MICT)—a method which uses estimates for ability and speededness directly—using the J-EAP further reduces average examinee time spent and variability in test times between examinees above the resulting gains of this selection algorithm with the MLE while maintaining estimation efficiency. Simulated test results are further corroborated with test parameters derived from a real data example.

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