Parametric Uncertainty
Parametric uncertainty or hydrological changes?
... again parametric uncertainty or does the trajectory in the parametric space relate about to a slow hydrological basin change? This paper depicts a possible path for detecting changes’ signatures in a ...
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Optimal Inventory Control under Parametric Uncertainty via Cumulative Customer Demand
... Abstract— Most models, which are used for solving inventory control problems, are developed in the literature under the assumptions that the parameter values of the models are known with certainty. When these models are ...
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Soft In Soft Output Detection in the Presence of Parametric Uncertainty via the Bayesian EM Algorithm
... This paper offers both a tutorial introduction to BEM- based estimation techniques and some recent research results about its applications. In fact, in its first part it describes the BEM technique, its relationship with ...
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A high resolution dataset of water fluxes and states for Germany accounting for parametric uncertainty
... lowest parametric uncertainty for evapotranspira- tion, and the largest is observed for groundwater ...The uncertainty of the hydrologic variables varies over the course of a year, with the exception ...
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Tuning without over-tuning: parametric uncertainty quantification for the NEMO ocean model
... sents the inherent limitations of the model description of the relevant metrics due to resolution, unresolved sub-gridscale processes, misspecified parameterisations, lack of complete physical knowledge, and error in ...
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Optimal robust control systems design and analysis by state space approaches : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy, Technology, at Massey University
... the uncertainty should be described parametrically when possible, minimising the requirement for robustness to residual unknown ...modelled uncertainty and unknown residual uncertainty should be ...
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Dynamic modeling and control of a 4 DOF robotic finger using adaptive-robust and adaptive-neural controllers
... The control problem of finger robots, and consequently multi fingered robot hands, is one of the challenging issues in this field due to highly nonlinear dynamic equations, external disturbances and parametric ...
11
Online Full Text
... Abstract—The problem of adaptive stochastic airline seat inventory control lies at the heart of airline revenue management. This problem concerns the allocation of the finite seat inventory to the stochastic customer ...
6
Design Study of an Autonomous Unmanned Air Vehicle Controller
... While parametric uncertainty is a large part of the plant model, it is not the only type of uncertainty considered in this ...unstructured uncertainty can be simulated with a given bound by ...
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Robust performance for arbitrary order plant under structured and unstructured uncertainties
... of uncertainty in plant into two ways,Strucured and Unstructured ...is parametric uncertainty or ...of uncertainty is considered as norm-bounded perturbations and uncertainity in system ...
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Accounting for parameter uncertainty in the definition of parametric distributions used to describe individual patient variation in health economic models
... in uncertainty on the level of subgroups compared to the level of the full pa- tient group due to decreasing sample sizes in sub- ...in uncertainty should of course be reflected in PSA, and although it is ...
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An Adaptive Fuzzy Controller for Trajectory Tracking of Robot Manipulator
... rametric uncertainty mainly occurs in robotic manipula- tor due to the variation in payloads and mass of ...the parametric uncer- tainty of a robot manipulator ...
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Robust Fractional Order Pid Control Of A Dc Motor With Parameter Uncertainty Structure
... and FOPDT system with parametric uncertainty structure. The simulation results illustrate that the proposed robust PI D λ µ controller for DC motor systems has best control performance than other optimal PI ...
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Reduction of predictive uncertainty in estimating irrigation water requirement through multi-model ensembles and ensemble averaging
... predictive uncertainty of models, where all sources of uncer- tainty are evaluated, ...parameter uncertainty, and model structure ...model uncertainty can only be shown by consider- ing all sorts of ...
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Recent progress toward reducing the uncertainty in tropical low cloud feedback and climate sensitivity: a review
... the parametric and structural uncer- tainty, Shiogama et ...the uncertainty in cloud feedback and ...compared parametric uncertainty between the eight MPE models and concluded that (1) ...
10
Linking a storyline with multiple models : a cross-scale study of the UK power system transition
... Model Demand D-EXPANSE EconA BLUE-MLP Treatment of uncertainty Structural uncertainty around cost-optimisation; Parametric uncertainty accommodated to some extent through maximally diffe[r] ...
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Angular minimum uncertainty states with large uncertainties
... an uncertainty relation is state dependent, states satisfying the equality in the uncertainty relation need not give a minimum in the uncertainty ...Heisenberg uncertainty principle for ...
15
Parametric and non-parametric analysis of tax changes
... to note that this specification typically allows only the model’s intercept to shift across the categorical variables. In principle, we should allow all parameters in the model to vary over all realizations of the ...
22
An hierarchical approach to hull form design
... To meet the growing trend of the use of numerical analysis tools, CAD systems have had to adapt to these new design strategies by providing a solution that allows the product to be easily optimised using the results of ...
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Infrared optical parametric fluorescence and parametric oscillation
... This chapter is devoted to deriving the differential equations which describe the changes in an optical field due to a nonlinear polarization. Previous derivations [r] ...
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