Results 71 to 80 of about 2,979,249 (191)

MODELING OF ECONOMIC UNCERTAINTY [PDF]

FUZZY ECONOMIC REVIEW, 2004
Representation and modeling of economic uncertainty is addressed by different modeling methods, namely stochastic variables and probabilities (including Monte Carlo simulation), interval analysis, and fuzzy numbers, in particular triple and quadruple esti-mates.
openaire   +2 more sources

ADOB: A Field-Friendly Control Framework for Reliable Robotic Systems via Complementary Integration of Robust and Adaptive Control

Sensors
Practical robotic systems require control methods that remain reliable under limited computational resources, uncertain environments, and frequent changes in operating conditions.
Jangyeon Park, Kwanho Yu, Jungsu Choi
doaj   +1 more source

Adaptive Leader-Follower Formation Control of Under-actuated Surface Vessels with Model Uncertainties and Input Constraints

Applied Sciences, 2019
This paper deals with the leader-follower formation control of underactuated autonomous surface vehicles in the presence of model uncertainties and input constraints.
Alireza Riahifard, Seyyed Mohammad Hosseini Rostami, Jin Wang, Hye-Jin Kim   +3 more
doaj   +1 more source

Bayesian and adaptive optimal policy under model uncertainty [PDF]

, 2006
We study the problem of a policymaker who seeks to set policy optimally in an economy where the true economic structure is unobserved, and policymakers optimally learn from their observations of the economy.
Svensson, Lars E.O., Williams, Noah
core  

Machine Learning-Driven RUL Prediction and Uncertainty Quantification for Ball Screw Drives in a Cloud-Ready Maintenance Framework

Journal of Machine Engineering
In today's rapidly evolving industrial landscape, efficient predictive maintenance solutions are essential for minimizing downtime and enhancing productivity.
Alexander Bott, Bolin Liu, Alexander Puchta, Juergen Fleischer   +3 more
doaj   +1 more source

Practical Model-Based Diagnosis with Qualitative Possibilistic Uncertainty [PDF]

, 2013
An approach to fault isolation that exploits vastly incomplete models is presented. It relies on separate descriptions of each component behavior, together with the links between them, which enables focusing of the reasoning to the relevant part of the ...
Cayrac, Didier, Dubois, Didier, Prade, Henri   +2 more
core  

Comparative Assessment of Two Global Sensitivity Approaches Considering Model and Parameter Uncertainty

Water Resources Research
Global Sensitivity Analysis (GSA) is key to assisting appraisal of the behavior of hydrological systems through model diagnosis considering multiple sources of uncertainty. Uncertainty sources typically comprise incomplete knowledge in (a) conceptual and
Heng Dai, Yujiao Liu, Alberto Guadagnini, Songhu Yuan, Jing Yang, Ming Ye   +5 more
doaj   +1 more source

Predictability of the Burgers dynamics under model uncertainty

, 2006
Complex systems may be subject to various uncertainties. A great effort has been concentrated on predicting the dynamics under uncertainty in initial conditions.
Blömker, Dirk, Duan, Jinqiao
core   +2 more sources

The Taylor Rule and Interest Rate Uncertainty in the U.S. 1970-2006 [PDF]

This paper shows how to estimate forecast uncertainty about future short-term interest rates by combining a time-varying Taylor rule with an unobserved components model of economic fundamentals.
Martin Mandler
core  

Quantify uncertainty in historical simulation and future projection of surface wind speed over global land and ocean

Environmental Research Letters
Quantifying uncertainty in simulations of surface wind speed (SWS) has significant implications for its applications. Here, we examine the SWS changes from the 6th coupled model intercomparison project (CMIP6) model outputs, and analyzed the simulation ...
Zhengtai Zhang, Kaicun Wang
doaj   +1 more source