Results 171 to 180 of about 1,938,747 (236)
This article proposes a convergent adaptive observer for a damped wave PDE and an infinite‐dimensional ODE coupled in cascade using sampled‐in‐space ODE state measurements. The proposed observer estimates the distributed states of the PDE and ODE along with unknown PDE parameters and spatial input.
Zehor Belkhatir +2 more
wiley +1 more source
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho +4 more
wiley +1 more source
Prognostic Approaches for Early Detection of Thermal Runaway in Lithium‐Ion Batteries
This article reviews methodologies for early detection of thermal runaway in lithium‐ion batteries, focusing on thermal, electrical, mechanical, and gas‐based precursors. It compares detection performance, reliability, lead time, and system‐level integration challenges to guide the development of practical, robust prognostic safety architectures.
Sahithi Maddipatla +3 more
wiley +1 more source
A Real‐Time Digital Twin for Human Cardiovascular Applications
A real‐time digital twin was developed using the reduced‐order unscented Kalman filter (ROUKF) to estimate left ventricular contractility from synthetic and in vivo left ventricular pressure measurement data. The results were promising, with identifiable parameter estimates and a stable mathematical model, highlighting the potential for real‐time ...
S. C. Snijders +4 more
wiley +1 more source
Planning and Control for Autonomous Landing of Quadrotor Unmanned Aerial Vehicles With Disturbances
This paper proposes a trajectory planning method for autonomous landing and designs a disturbance‐compensated nonlinear model predictive controller (NMPC) for environments under wind disturbances. An efficient trajectory planning method based on MINCO is proposed, which transforms the trajectory planning problem into an optimization problem.
Xiaokang Zhu +6 more
wiley +1 more source
The article explores ways such as ultrasonic guided wave testing, infrared thermography, acoustic emission, vibration analysis, and oil analysis to prevent faults from affecting the plant and help with fault isolation. It focuses on how FTC is combined with modern tools like Artificial Intelligence (AI), the Internet of Things (IoT), sliding mode ...
Arslan Ahmed Amin +4 more
wiley +1 more source
A hybrid CNN–LSTM–Transformer framework with FFT‐based feature extraction enables accurate detection and severity estimation of stator and rotor faults in DFIGs under turbulent conditions, achieving over 94% accuracy for early‐stage fault diagnosis. Fault Diagnosis and Severity Estimation in Wind Turbines.
Mehdi Mohammadian Mehr +3 more
wiley +1 more source
An adequacy‐for‐purpose perspective for the environmental sciences
The range of datasets, methods, and other tools available for environmental research and decision‐making is rapidly expanding. How should the quality of these tools be evaluated? When are new resources better than existing resources? We advocate an adequacy‐for‐purpose perspective, according to which the quality of environmental research tools depends ...
Wendy S Parker +3 more
wiley +1 more source
The Impact of Uncertainty on Forecasting the US Economy
ABSTRACT This paper examines the predictive value of uncertainty measures for key macroeconomic indicators across multiple forecast horizons. We evaluate how different uncertainty proxies—economic policy uncertainty (EPU), VIX, geopolitical risk, and measures of macroeconomic and financial uncertainty—enhance forecast accuracy for industrial production,
Angelica Ghiselli
wiley +1 more source
Forecasting With Dynamic Factor Models Estimated by Partial Least Squares
ABSTRACT Dynamic factor models (DFMs) have found great success in nowcasting and short‐term macroeconomic forecasting when incorporating large sets of predictive information. The factor loadings are typically estimated cross‐sectionally with principal component analysis (PCA) or maximum likelihood (ML), which ignore whether the factors have predictive ...
Samuel Rauhala
wiley +1 more source

