Model Discrimination and Parameter Identification by an Experimental Design Strategy

1998 ◽  
Vol 31 (8) ◽  
pp. 73-78 ◽  
Author(s):  
R. Takors ◽  
D. Weuster-Botz ◽  
W. Wiechert ◽  
C. Wandrey
Keyword(s):  
Experimental Design ◽  
Parameter Identification ◽  
Design Strategy ◽  
Model Discrimination

scholarly journals Asymptotic Inference for Optimal Rerandomization Designs

2021 ◽  
Vol 1 (1) ◽  
pp. 49-58
Author(s):  
Mårten Schultzberg ◽  
Per Johansson
Keyword(s):  
Experimental Design ◽  
Normal Distribution ◽  
Mahalanobis Distance ◽  
Design Strategy ◽  
Sampling Distribution ◽  
Optimal Designs ◽  
Asymptotic Inference ◽  
Optimal Allocations ◽  
Asymptotic Sampling

AbstractRecently a computational-based experimental design strategy called rerandomization has been proposed as an alternative or complement to traditional blocked designs. The idea of rerandomization is to remove, from consideration, those allocations with large imbalances in observed covariates according to a balance criterion, and then randomize within the set of acceptable allocations. Based on the Mahalanobis distance criterion for balancing the covariates, we show that asymptotic inference to the population, from which the units in the sample are randomly drawn, is possible using only the set of best, or ‘optimal’, allocations. Finally, we show that for the optimal and near optimal designs, the quite complex asymptotic sampling distribution derived by Li et al. (2018), is well approximated by a normal distribution.

scholarly journals Sequential experimental design strategy for rapid kinetic modeling of chemical synthesis

AIChE Journal ◽  
2005 ◽  
Vol 51 (6) ◽  
pp. 1773-1781 ◽  
Author(s):  
Sébastien Issanchou ◽  
Patrick Cognet ◽  
Michel Cabassud
Keyword(s):  
Experimental Design ◽  
Chemical Synthesis ◽  
Kinetic Modeling ◽  
Design Strategy

scholarly journals Modeling and Experimental Design for the On-Orbit Inertial Parameter Identification of Free-Flying Space Robots

2005 ◽  
Author(s):  
Roberto Lampariello ◽  
Gerhard Hirzinger
Keyword(s):  
Energy Consumption ◽  
Experimental Design ◽  
Parameter Identification ◽  
Suitable Model ◽  
Space Robots ◽  
Full System ◽  
End Effector ◽  
Dynamic Motion ◽  
Inertial Parameters ◽  
Flying Robot

A method is proposed for the identification of the inertial parameters of a free-flying robot directly in orbit, using accelerometers. This can serve to improve the path planning and tracking capabilities of the robot, as well as its efficiency in energy consumption. The method is applied to the identification of the base body and of the load on the end-effector, giving emphasis to the experimental design. The problem of the identification of the full system is also addressed in its theoretical aspects. The experience from the Getex Dynamic Motion experiments performed on the ETS-VII satellite have allowed to determine a most suitable model for the identification.

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