Results 121 to 130 of about 1,270,069 (328)

Correction: Bayesian regression explains how human participants handle parameter uncertainty. [PDF]

PLoS Comput Biol, 2022
Jegminat J, Jastrzębowska MA, Pachai MV, Herzog MH, Pfister JP.   +4 more
europepmc   +1 more source

Current Tracking Adaptive Control of Brushless DC Motors

International Journal of Adaptive Control and Signal Processing, EarlyView.
In this paper, the current tracking for Brushless Direct Current motors is approached considering uncertainty in the parameters of the motor's model. An adaptive control scheme to compensate electrical parameters uncertainty is proposed without requiring any knowledge of the mechanical parameters.
Fernanda Ramos‐García, Axel Coronado‐Andrade, Gerardo Espinosa‐Pérez, Luis Alvarez‐Icaza   +3 more
wiley   +1 more source

Automated Design of Robust Genetic Circuits: Structural Variants and Parameter Uncertainty. [PDF]

ACS Synth Biol, 2021
Schladt T, Engelmann N, Kubaczka E, Hochberger C, Koeppl H.   +4 more
europepmc   +1 more source

Casimir-Polder intermolecular forces in minimal length theories

, 2007
Generalized uncertainty relations are known to provide a minimal length $\hbar\sqrt{\beta}$. The effect of such minimal length in the Casimir-Polder interactions between neutral atoms (molecules) is studied. The first order correction term in the minimal
A. Salam, A. Salam, C. Itzikson, H. B. G. Casimir, J. Dalibard, O. Panella, V. B. Berestetskii   +6 more
core   +1 more source

An Adaptive Human Pilot Model With Reaction Time Delay for Enhanced Adaptive Control in Piloted Systems

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces an adaptive human pilot model that captures pilot time‐delay effects in adaptive control systems. The model enables the prediction of pilot–controller interactions, facilitating safer integration and improved design of adaptive controllers for piloted applications.
Abdullah Habboush, Yildiray Yildiz
wiley   +1 more source

Parametric Sensitivity of Vegetation Dynamics in the TRIFFID Model and the Associated Uncertainty in Projected Climate Change Impacts on Western U.S. Forests

Journal of Advances in Modeling Earth Systems, 2019
Changing climate conditions impact ecosystem dynamics and have local to global impacts on water and carbon cycles. Many processes in dynamic vegetation models (DVMs) are parameterized, and the unknown/unknowable parameter values introduce uncertainty ...
Linnia R. Hawkins, David E. Rupp, Doug J. McNeall, Sihan Li, Richard A. Betts, Philip W. Mote, Sarah N. Sparrow, David C. H. Wallom   +7 more
doaj   +1 more source

Assessing dynamic vegetation model parameter uncertainty across Alaskan arctic tundra plant communities. [PDF]

Ecol Appl, 2022
Euskirchen ES, Serbin SP, Carman TB, Fraterrigo JM, Genet H, Iversen CM, Salmon V, McGuire AD.   +7 more
europepmc   +1 more source

Simulations of noise-parameter uncertainties [PDF]

2002 IEEE MTT-S International Microwave Symposium Digest (Cat. No.02CH37278), 2003
This paper reports results for uncertainties obtained from a Monte Carlo simulation of noise-parameter measurements. The simulator permits the computation of the dependence of the uncertainty in the noise parameters on uncertainties in the underlying quantities.
openaire   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Solving the Robust Shortest Path Problem with Multimodal Transportation

Mathematics
This paper explores the challenges of finding robust shortest paths in multimodal transportation networks. With the increasing complexity and uncertainties in modern transportation systems, developing efficient and reliable routing strategies that can ...
Jinzuo Guo, Tianyu Liu, Guopeng Song, Bo Guo   +3 more
doaj   +1 more source