Optimal Input Design for Improved Parameter Estimation
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 satisfactory ...
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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 satisfactory ...
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Parameter Estimation in Distributed Systems: Optimal Design
... on optimal design ...SE-optimal design introduced in [12] and [13] with the well-known methods of D-optimal and E-optimal design on a six-compartment HIV model [1, 2, 3] ...
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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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Optimal Design for Parameter Estimation in EEG Problems in a 3D Multilayered Domain
... efficient estimation of parameters is known as Optimal Experimental ...best parameter values of a given mathematical model based on fits to measured ...finding optimal number and locations for ...
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Optimal parameter estimation of a depolarizing channel
... best input probe state and the measurement strategy that minimizes the Bayes cost of a quadratic ...Bayes optimal strategy for any finite number of input probe particles when bipartite entanglement ...
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D-optimal design for parameter estimation in discrete-time nonlinear dynamic systems
... An optimal input design method for parameter estimation in a discrete-time nonlinear system is presented in the paper to improve the observability and identification precision of model ...
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Optimal design techniques for distributed parameter systems
... Optimal Design Techniques for Distributed Parameter Systems ∗ ...Abstract Parameter estimation problems consist in approximating parameter values of a given mathematical model ...
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An improved swarm optimization for parameter estimation and biological model selection
... For this simulation, all competitive methods were run using 50 solutions and 200 iterations. For the DE method, the mutation and crossover coefficient were amplified to 3.0 and 2.5, respectively. For the FA and S-CRO ...
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FPGA IMPLEMENTATION OF BILATERALFILTER AND OPTIMAL PARAMETER ESTIMATION FOR IMAGE DENOISING
... 366 | P a g e F.Hannighave proposed “A DeeplyPipelined and Parallel Architecture For Denoising Medical Images” the filter consists of 16 parallel working modules, where the most computationally intensive module achieves ...
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Improved Shape Parameter Estimation in Pareto Distributed Clutter with Neural Networks
... clutter input which is a distortion signal appearing mixed with target ...shape parameter based on artificial neural ...precise estimation of the parameter, having a low computational cost, ...
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Optimal Designs Of The Double Sampling X Chart Based On Parameter Estimation
... Zhang and Chen (2002) proved that the standard EWMA X chart with known parameters is ARL-unbiased. Then using the results derived from the case of known parameters, they discussed the impact of the estimated process mean ...
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An improved two-step method in stochastic differential equation's structural parameter estimation
... the optimal knot and order of spline, an algorithm is ...single optimal knot is selected out of all the points with exception of the first and the last data and the least value of Generalised Cross ...
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Improved Shape Parameter Estimation in K Clutter with Neural Networks and Deep Learning
... radars’ design, especially in coastal or offshore environments where the histogram of the background signal often displays heavy ...shape parameter, demonstrating its superiority over the classic ...
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Optimal Input Excitation Design for Nonparametric Uncertainty Quantification of Multi Input Multi Output Systems
... e.g. estimation variance in regards to the noise/nonlinearity, in the latter method are highlighted, which are crucial for the parametric system identification, the state estimation problem, and the robust ...
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Determination of Optimal ValveTiming for Internal Combustion Engines Using Parameter Estimation Method
... In this article determination of appropriate valve timing using sensitivity analysis problem is investigated for a gasoline four stroke engine. In the first part of this study a 4-storke Spark Ignition engine (XU7JP4/L3) ...
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Optimal Control, Estimation, and Shape Design: Analysis and Applications
... the optimal design of TWTs we described additional tools to effec- tively explore different circuit designs, automate parameter variation, and ...the design of a folded waveguide slow-wave ...
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Improved particle swarm optimization and gravitational search algorithm for parameter estimation in aspartate pathways
... Parameters estimation: Minimize the fitting error between pathway model and the experimental ...a parameter estimation algorithm for estimating the kinetic parameter values of metabolites in ...
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Fuzzy ANFIS Based Optimal Maximum Power Point Tracking with Estimation of Climatic Parameter
... C. ANFIS with PV System In this paper a new MPPT method, Adaptive Neuro Fuzzy Inference system (ANFIS) is used for tracking MPP, which is described in this section. The proposed Matlab/Simulink model of ANFIS based ...
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Parameter Estimation and Dynamic State Observer Design for Vapor Compression Systems
... Observer Design When controlling physical systems, it is often necessary to know the values of the states that define the response of the ...the input and a subset of the states (those that can be ...
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