Results 81 to 90 of about 10,836 (207)

Output Feedback‐Based Direct Yaw Control System and Finite‐Time Robust Dynamic Control Allocation for Unknown Road Conditions

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This paper presents a three‐layer control architecture designed to enhance vehicle lateral stability under uncertain and varying road conditions. The system utilizes output‐feedback‐based finite‐time controllers to track the desired yaw rate and longitudinal slip in the upper and lower layers, respectively.
Vahid Behnamgol, Mohammad Mirzaei, Behnaz Sohani   +2 more
wiley   +1 more source

Quantum annealing for inverse kinematics in robotics. [PDF]

Sci Rep
Salloum H, Savin S, Kholodov Y, Ryzhakov G, Farina M, Oseledets I.   +5 more
europepmc   +1 more source

Time tells: plasticity and developmental asynchrony underlie trait variation in a dune‐building grass

Oikos, EarlyView.
Habitat‐modifying plants engineer landscapes through plant‐environment feedbacks. The strength of these feedbacks is determined by above‐ and below‐ground traits shaping landscape morphology. Besides interspecific differences, recent findings highlight that intraspecific trait variation, such as shoot density, can also influence landscape morphology ...
Solveig Höfer, Lissie de Groot, Helge Giezeman, Eva Kloppenborg, Eva Lansu, Nathan Scanlan, Max Rietkerk, Martin J. Wassen, Tjisse van der Heide, Valérie C. Reijers   +9 more
wiley   +1 more source

Systematic Parameter Selection for Short Fiber Polymer Composite Direct Fiber Simulation

Polymer Composites, EarlyView.
Interactions of individually simulated fibers are systematically calibrated such that their orientation history agrees with the results from analytical orientation models. ABSTRACT The orientation of fibers in short discontinuous fiber reinforced polymer composites is a critical factor in determining final mechanical and thermal properties.
Jason B. Pierce, Douglas E. Smith
wiley   +1 more source

Optimization of mine ventilation energy consumption based on improved dung beetle algorithm. [PDF]

Sci Rep
Bingyan G, Zhe K.
europepmc   +1 more source

Using expert elicitation to predict feral cat, Felis catus, responses to management

Pest Management Science, EarlyView.
We generated estimates of lethal feral cat management success for 864 scenarios, only 71 lethal management scenarios met a population reduction target of 57%. Cat‐targeted poison baits, in dry conditions and arid areas were most successful. Feral cat management requires continued adaptive strategies to reduce cat impacts.
Annalie Dorph, Sarah Legge, Trent D Penman, Rebecca Cherubin, Shona Elliot‐Kerr, Erica Marshall, Kate Parkins, Guy‐Anthony Ballard   +7 more
wiley   +1 more source

A versatile large-scale coherent Ising machine from microwave to visible and telecom wavelength bands. [PDF]

Light Sci Appl
Zhang H, Li J, Zhu H.
europepmc   +1 more source

Machine‐learning approaches for characterizing the raindrop size distributions in Western Pacific tropical cyclones

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Long‐term disdrometer observations are utilized to derive Z–R relationships for ‐the Western Pacific tropical cyclones. A hybrid moment‐based approach is employed to determine the interrelationships among pairs of gamma distribution parameters. Enhanced estimates of rainfall rate and slope parameter are obtained using machine‐learning techniques ...
Jayalakshmi Janapati, Balaji Kumar Seela, Spandana Vadloori, Pay‐Liam Lin, Chuan‐Chi Tu, Everette Joseph   +5 more
wiley   +1 more source

A pilot variational coupled reanalysis based on the CESAM climate model

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Variational data assimilation of in‐situ and satellite ocean data and reanalysis atmospheric data into an intermediate complexity Earth system model is possible by adjusting the surface fluxes and internal model parameters. This pilot application requires nearly complete information on the atmospheric state for synchronization.
Armin Köhl, Iuliia Polkova, Guokun Lyu, Frank Lunkeit, Abhirup Banerjee, Silke Schubert, Detlef Stammer   +6 more
wiley   +1 more source

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source