optimal parameter design method
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... Robust design is an important methodology that provides a product or process insensitivity to the effects of variability and improves the performance at low cost including in static and dynamic ...robust ...
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Optimal Parameter Design by Regression Technique and Grey Relational Analysis
... Taguchi method conducts n experiments in OA to investigate f factors concurrently. Suppose q responses are of main interest. The quality response is mainly divided into three main types; the larger-the-better ...
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Parameter Estimation in Distributed Systems: Optimal Design
... Since the sensitivity equations cannot be easily solved for in the models chosen here and in [15, 16, 17, 18] to illustrate this method, one can use a modified version of tssolve.m [5], which implements the myAD ...
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Optimal Design for Parameter Estimation in EEG Problems in a 3D Multilayered Domain
... Electroencephalographic source localization by noninvasive techniques is an area of interest in clinic epileptology, in particular concerning models of dipolar and distributed sources for the investigation of focal ...
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Optimal design techniques for distributed parameter systems
... n Method SE(q(1)) SE(q(2)) SE(q(3)) 6 Method 1 ...3.32e+03 Method 2 3.71e+05 1.22e+05 1.95e+05 Method 3 ...2.58e-01 Method 4 1.91e-01 1.43e-01 2.66e-01 8 Method 1 ...3.99e-01 ...
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An optimal parameter extraction and crack identification method for solar photovoltaic modules
... emission. The PV panels are dark and absorbing around 85% of incoming light whereas 15% is used to generate electricity, the remaining 70% will produce heat [1]. In order to collect the performance data, data acquisition ...
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Optimal experimental design for an enzymatic biodiesel production system
... 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 those important parameters to be ...the ...
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Powertrain parameter matching and optimal design of dual-motor driven electric tractor
... powertrain parameter design has a significant influence on the traction performance and economic performance of electric ...powertrain parameter design mainly focus on electric vehicles, and ...
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Comparison of optimal design methods in inverse problems
... the optimal design methods were compared using the Monte Carlo method for asymptotic standard ...average parameter estimates to their true values, we found that ššø-optimalās average ...
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Experimentation and Optimization of injection moulding process parameter through Taguchi method and Mould flow analysis
... Taguchi method for simulation optimization to solve a multi-response simulation-optimization ...Taguchi method is applied effectively to study the difference and similarities among plastic injection ...
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The optimal parameter design for a welding unit of manufacturing industry by Taguchi method and computer simulation
... the design of a robust production line, which takes productivity into account in the welding unit of a selected manufacturing ...Taguchi method and computer simulation to find the optimum factor setting for ...
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Optimal input design for reduction of parameter correlations
... In this paper, OED are used mainly for the purpose of designing the most informative data which can improve the estimation precision of parameters. Information contained in data is measured using Fisher information ...
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Optimal design of PID controllers using the QFT method
... general design methodologies for dealing with the effects of uncertainty: (i) Adaptive control , in which the parameters of the plant (or some other appropriate structure) are identified on-line and the ...
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A Single Convergent Control Parameter Optimal Homotopy Asymptotic Method Approximate-Analytical Solution of Fuzzy Heat Equation
... This research has met its key objective by developing OHAM to derive an approximate-analytical solution of FPDEs, and then applying it with single convergent control parameter to obtain the solution to FHE, figure ...
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Computational intelligence method for optimal rotary design system
... Simulated plot for servo load angle with Fuzzy Logic Controller.. Simulated plot for arm deflection angle with Fuzzy Logic.[r] ...
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A demonstration of the utility of fractional experimental design for finding optimal genetic algorithm parameter settings
... changed. Material inputs may become different, environ- mental conditions may change, and thus adding the results of trials run at a later time may result in wrongful conclusions unless these potential effects are ...
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Maximin optimal designs for a compartmental model
... in design theory (see, e.g., [Sil80], Lemma 5.1.3). Some locally D- optimal designs for several representative situations with respect to the choice of Īø are listed in Table ...
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An Optimal Method to Design Wireless Sensor Network Structures
... For wireless sensor networks, it is two important goals to balance the energy con- sumption of the sensor nodes and improve the life cycle of the network. The distribu- tion of sensor nodes in a topology affects the ...
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Parameter Auto-tuning Method Based on Selflearning Algorithm
... of optimal status adjusting by once setting parameter of fuzzy PID, the paper proposed a sort of parameter auto-tuning method of fuzzy-PID based on self-learning ...adopted parameter ...
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Decrease of the Penalty Parameter in Differentiable Penalty Function Methods
... penalty parameter and the ill-conditioning of the penalty method and leads to a faster convergence to the optimal ...grangian method and report some numerical results on several nonlinear ...
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