Results 11 to 20 of about 2,973,401 (293)

Nested Models and Model Uncertainty [PDF]

The Scandinavian Journal of Economics, 2015
AbstractUncertainty about the appropriate choice among nested models is a concern for optimal policy when policy prescriptions from those models differ. The standard procedure is to specify a prior over the parameter space, ignoring the special status of submodels (e.g., those resulting from zero restrictions).
Kriwoluzky, A., Stoltenberg, C.A.
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On the Combination of Physical Parameterization Schemes for Tropical Cyclone Track and Intensity Forecasts in the Context of Uncertainty

Journal of Advances in Modeling Earth Systems, 2023
The selection of physical parameterization schemes for tropical cyclone (TC) forecasts has required a substantial amount of effort. In general, the evaluation of physical parameterization schemes and their combined performance was based solely on the ...
Xuan Wang, Zhe‐Min Tan
doaj   +1 more source

Constraining uncertainty in aerosol direct forcing [PDF]

, 2020
The uncertainty in present-day anthropogenic forcing is dominated by uncertainty in the strength of the contribution from aerosol. Much of the uncertainty in the direct aerosol forcing can be attributed to uncertainty in the anthropogenic fraction of ...
Bellouin, N., Carslaw, K. S., Deaconu, L., Johnson, J. S., Pringle, K. J., Regayre, L. A., Schutgens, N., Smith, C. J., Stier, P., Watson-Parris, D., Yoshioka, M.   +10 more
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Biomass Estimation and Uncertainty Quantification From Tree Height

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
We propose a tree-level biomass estimation model approximating allometric equations by LiDAR data. Since tree crown diameter estimation is challenging from spaceborne LiDAR measurements, we develop a model to correlate tree height with biomass on the ...
Qian Song, Conrad M. Albrecht, Zhitong Xiong, Xiao Xiang Zhu   +3 more
doaj   +1 more source

Design of an Optimal Control Strategy for Coupled Tank Systems Using Nonlinear Constraint Optimization With Kharitonov-Hurwitz Stability Analysis

IEEE Access, 2023
The fundamentals of nonlinear constraint optimization are exploited in this paper to design a decentralized PID controller for variable area coupled tank systems.
K. R. Achu Govind, Subhasish Mahapatra, Soumya Ranjan Mahapatro   +2 more
doaj   +1 more source

Robust Sliding Mode Control With Optimal Path Following for Lateral Motion of Autonomous Bus

IEEE Access, 2023
A robust and high-performance lateral control system is necessary for autonomous bus driving in complex downtown roads. In this paper, a Sliding Mode (SM) controller with an uncertainty observer is proposed to reduce the chattering phenomenon while ...
Hun Hwangbo, Jaeun Ryu, Sangwon Han, Kunsoo Huh   +3 more
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Model Uncertainty

Statistical Science, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Clyde, Merlise, George, Edward I
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Impacts of climate change on subannual hydropower generation: a multi-model assessment of the United States federal hydropower plant

Environmental Research Letters, 2023
Hydropower is a low-carbon emission renewable energy source that provides competitive and flexible electricity generation and is essential to the evolving power grid in the context of decarbonization.
Tian Zhou, Shih-Chieh Kao, Wenwei Xu, Sudershan Gangrade, Nathalie Voisin   +4 more
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Parameter identification method for multibody systems incorporating the adjoint method and feature extraction based on the proper orthogonal decomposition

Nihon Kikai Gakkai ronbunshu, 2023
Many mechanical systems such as vehicles, robots and space structures are comprised of a lot of interconnected components. The motion of the components is constrained because of mechanical joints or specified motion trajectories.
Ryoya NISHI, Kensuke HARA, Hiroshi YAMAURA   +2 more
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Model uncertainty – parameter uncertainty versus conceptual models

Water Science and Technology, 2005
Uncertainties in model structures have been recognised often to be the main source of uncertainty in predictive model simulations. Despite this knowledge, uncertainty studies are traditionally limited to a single deterministic model and the uncertainty addressed by a parameter uncertainty study.
A L, Højberg, J C, Refsgaard
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