Iterative Optimal Input Design with Experimental Constraints
Optimal input design for reduction of parameter correlations
... IV. C ONCLUSION AND FUTRUE WORK In this paper, a new criterion has been proposed which linearly combines the A-optimality criterion and the ME- optimality together to acquire the experimental data with ...
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Optimal input design for reduction of parameter correlations
... IV. C ONCLUSION AND FUTRUE WORK In this paper, a new criterion has been proposed which linearly combines the A-optimality criterion and the ME- optimality together to acquire the experimental data with ...
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Sparsening filter design for iterative soft input soft output detectors
... the design of sparsening filters as a way to reduce the complexity of iterative soft- input soft-output MAP ...filter design metric called the SSSNR, and showed that maximizing this quan- tity ...
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Bayes linear analysis for Bayesian optimal experimental design.
... the design parameter space in ...compare input points with the implausibility measures defined at both stages to find a further reduced non-implausible ...
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Optimal Input Design for Active Parameter Identification of Dynamic Nonlinear Systems
... suitable input sig- nal and observing the resulting output behavior of the ...the input signal intelligently in the sense that it is responsible to de- termine the accuracy and nature of the unknown system ...
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An optimal experimental design perspective on redial basis function regression
... This provides a device that might help ward off some potential numerical instability due to some kernels. Finally, like the typical D-optimality criterion, our derived estimation scheme does not require any explicit ...
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Optimal Experimental Design for Biophysical Modelling in Multidimensional Diffusion MRI
... for optimal experimental design of multidimen- sional dMRI sequences applicable to the ...desirable design constraints like, for instance, hardware-specific ...the optimal ...
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Optimal Controller Design for Inverted Pendulum System: An Experimental Study
... systematic iterative method for the state feedback design by choosing weighting matrices key to Linear Quadratic Regulator (LQR) design is presented assuming all the states to be available at the ...
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Can we build it? Using experimental prototyping and iterative development for historical game design
... Although the definition of historical game genres proposed by these authors offers interesting insights, I think that seriously limits the analysis of what games can do as a historical medium and excessively ...
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A two-loop optimization strategy for multi-objective optimal experimental design
... new design algorithm has been applied to an enzyme kinetically controlled synthesis ...observation design, it is suggested that the state variables Q and S provide the most informative experimental ...
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A two-loop optimization strategy for multi-objective optimal experimental design
... new design algorithm has been applied to an enzyme kinetically controlled synthesis ...observation design, it is suggested that the state variables Q and S provide the most informative experimental ...
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Optimal design: Problems with differential constraints
... Notion of G-Closure is Sufficient (but Not Necessary) for Relaxation The problem of existence of optimal controls for lower weakly continuous func- tionals is trivially solved when one passes from the set U to its ...
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Generalized sensitivities and optimal experimental design
... the optimal experimental design literature, and the traditional way to answer it is to find sampling distributions for measurements which optimize some specific design ...locally optimal ...
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Optimal Input Excitation Design for Nonparametric Uncertainty Quantification of Multi Input Multi Output Systems
... the input/output data in the two cases, and the normalized results are shown in ...represent input and output, ...the input in the case of minimized CF follows a specific line of harmonics which ...
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Comprehensive experimental design for chemical engineering processes : a two-layer iterative design approach
... optimization problem of observation design under the given input conditions,. 529[r] ...
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Optimal experimental design for an enzymatic biodiesel production system
... real experimental conditions. Through the design of measurement set, it is suggested that the state variable BD may provide the most informative experimental data than other measurable variables for ...
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Optimal experimental design for an enzymatic biodiesel production system
... real experimental conditions. Through the design of measurement set, it is suggested that the state variable BD may provide the most informative experimental data than other measurable variables for ...
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Statistical Algorithms for Optimal Experimental Design with Correlated Observations
... maximization) design problem for 2-way polynomial regression with correlated ...D-optimal design for regression models with correlated errors focused on polynomial models with a single predictor ...
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Optimal Experimental Design for Model Selection: a Partial Review
... 3.3 Bayesian paradigm As mentioned above most of the optimality criteria focus on the inverse of the information matrix. If the model is nonlinear the FIM depends on the parameters of the model. KL-optimality, and so ...
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Relaxation through Homogenization for Optimal Design Problems with Gradient Constraints 1
... the design problem (6) through an extension of the design ...extended design space for the gradient-con- strained design problem is seen to be a generalization of the one developed for the ...
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