Results 51 to 60 of about 1,067 (222)

Learning Rocking Dynamics From Sparse Shake‐Table Data With Interpretable Physics‐Informed Neural Networks

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen, Christian Málaga‐Chuquitaype   +1 more
wiley   +1 more source

Transitioning from Simulation to Reality: Applying Chatter Detection Models to Real-World Machining Data

Machines
Chatter, a self-excited vibration phenomenon, is a critical challenge in high-speed machining operations, affecting tool life, product surface quality, and overall process efficiency.
Matthew Alberts, Sam St. John, Simon Odie, Anahita Khojandi, Bradley Jared, Tony Schmitz, Jaydeep Karandikar, Jamie B. Coble   +7 more
doaj   +1 more source

When a Week Is Not A Week: How Temporal Boundaries Shift Regulatory Focus and Consumer Preference

Psychology &Marketing, EarlyView.
ABSTRACT Does consumer perception of a sales event change if it falls across a calendar boundary (e.g., next month) versus within the current month, holding objective time constant? We investigate this question in the context of Cyber Monday, the global shopping event occurring the Monday after the U.S. Thanksgiving holiday.
David DeFranza, Promothesh Chatterjee
wiley   +1 more source

Hybrid Edge–Cloud-Based Smart System for Chatter Suppression in Train Wheel Repair

Applied Sciences, 2019
The contact profile of a train wheel has a key role in its operation performance. Rolling smoothly and with reduced resistance results in an increase in the efficiency and safety of rail transport.
Ruben Merino, Iñigo Bediaga, Alexander Iglesias, Jokin Munoa   +3 more
doaj   +1 more source

Experimental and field evidence indicate that islet‐nesting tundra birds experience reduced nest predation and benefit indirectly from high snow goose densities

Oikos, EarlyView.
Landscape features can shape the occurrence and strength of predator–prey interactions by influencing predation risk and prey distribution. In the High Arctic, some bird species select nesting sites with physical features that impede access for their main terrestrial predator, the Arctic fox.
Marylou Beaudoin, Andréanne Beardsell, Éliane Duchesne, Madeleine‐Zoé Corbeil‐Robitaille, Pierre Legagneux, Dominique Berteaux, Joël Bêty   +6 more
wiley   +1 more source

Adaptive Sliding‐Mode Control of a Perturbed Diffusion Process With Pointwise In‐Domain Actuation

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT A sliding mode–based adaptive control law is proposed for a class of diffusion processes featuring a spatially‐varying uncertain diffusivity and equipped with several point‐wise actuators located at the two boundaries of the spatial domain as well as in its interior.
Paul Mayr, Alessandro Pisano, Stefan Koch, Markus Reichhartinger   +3 more
wiley   +1 more source

A Novel Mathematical Model for Predicting Self-Excited Vibrations in Micromilling of Aluminium 7075

Metals
Micro milling of metallic materials presents unique dynamic challenges due to highly nonlinear cutting forces and the susceptibility to self-excited vibrations (chatter).
Cvijetin Mladjenovic, Dejan Marinković, Katarina Monkova, Miloš Knežev, Aleksandar Živković   +4 more
doaj   +1 more source

Design Optimization of a Compact Double-Ended-Tuning-Fork-Based Resonant Accelerometer for Smart Spindle Applications

Micromachines, 2019
With the rapid developments of the Industrial Era 4.0, numerous sensors have been employed to facilitate and monitor the quality of machining processes.
Yu-Hsuan Chen, Wei-Chang Li, Xi-Wen Xiao, Chieh-Cheng Yang, Chien-Hao Liu   +4 more
doaj   +1 more source

Optimal Homogeneous ℒp$$ {\boldsymbol{\mathcal{L}}}_{\boldsymbol{p}} $$‐Gain Controller

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Nonlinear ℋ∞$$ {\mathscr{H}}_{\infty } $$‐controllers are designed for arbitrarily weighted, continuous homogeneous systems with a focus on systems affine in the control input. Based on the homogeneous ℒp$$ {\mathcal{L}}_p $$‐norm, the input–output behavior is quantified in terms of the homogeneous ℒp$$ {\mathcal{L}}_p $$‐gain as a ...
Daipeng Zhang, Benjamin Calmbach, Jaime A. Moreno, Johann Reger   +3 more
wiley   +1 more source

Frequency‐Domain Analysis of External Signal Propagation Through Sliding Mode Control Systems With Dynamic Actuators

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT The importance of frequency domain methods in analysis and design of sliding mode (SM) control systems is mostly associated with chattering, where the advantages of these methods over state‐space and Lyapunov's methods are quite obvious.
I. M. Boiko
wiley   +1 more source