Results 51 to 60 of about 25,847 (225)

Designing optimal controls by parameter optimization for a stance-control knee-ankle-foot orthosis [PDF]

open access: yes, 2014
Inverse dynamics simulation is often used in robotic and mechatronic systems to track a desired trajectory by feed-forward control. Musculoskeletal multibody systems are highly overactuated and show a switching number of closed kinematical loops.
Font Llagunes, Josep Maria   +1 more
core  

Waveless Approximation Theories of Gravity [PDF]

open access: yes, 2007
The analysis of a general multibody physical system governed by Einstein's equations in quite difficult, even if numerical methods (on a computer) are used.
JAMES A. ISENBERG   +3 more
core   +2 more sources

Beyond mammals: the evolution of chewing and other forms of oropharyngeal food processing in vertebrates

open access: yesBiological Reviews, Volume 101, Issue 3, Page 1406-1462, June 2026.
ABSTRACT Oropharyngeal food processing exhibits a remarkable diversity among vertebrates, reflecting the evolution of specialised ‘processing centres’ associated with the mandibular, hyoid, and branchial arches. Although studies have detailed various food‐processing strategies and mechanisms across vertebrates, a coherent and comprehensive terminology ...
Daniel Schwarz   +6 more
wiley   +1 more source

Nonlinear Attitude Control of Planar Structures in Space Using Only Internal Controls [PDF]

open access: yes, 1993
An attitude control strategy for maneuvers of an interconnection of planar bodies in space is developed. It is assumed that there are no exogeneous torques and that torques generated by joint motors are used as means of control so that the total angular ...
Mcclamroch, N. Harris   +1 more
core   +1 more source

Energy conserving time integration scheme for geometrically exact beam [PDF]

open access: yes, 2007
An energy conserving finite-element formulation for the dynamic analysis of geometrically non-linear beam-like structures undergoing large overall motions has been developed.
Gams, Matija, Planinc, Igor, Saje, Miran
core   +1 more source

Evaluation of Modeling Assumptions for Predicting Structural Damage and Train Derailment Under Earthquake Loading

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 7, Page 1514-1532, June 2026.
ABSTRACT The rapid development of new railway networks and the aging of existing infrastructure in seismic‐prone regions continue to motivate the need for efficient methods to simulate the dynamic behavior of coupled train track structure systems. While detailed train–structure interaction (TSI) models can capture complex mechanisms, they are often too
Miguel A. Gomez, Matthew J. DeJong
wiley   +1 more source

Simulation of Moving Loads in Elastic Multibody Systems With Parametric Model Reduction Techniques

open access: yesArchive of Mechanical Engineering, 2014
In elastic multibody systems, one considers large nonlinear rigid body motion and small elastic deformations. In a rising number of applications, e.g.
Fischer Michael, Eberhard Peter
doaj   +1 more source

Comment on the calculation of forces for multibody interatomic potentials

open access: yes, 2010
The system of particles interacting via multibody interatomic potential of general form is considered. Possible variants of partition of the total force acting on a single particle into pair contributions are discussed.
A. M. Krivtsov   +7 more
core   +1 more source

Discrete mechanics and optimal control for constrained systems [PDF]

open access: yes, 2008
The equations of motion of a controlled mechanical system subject to holonomic constraints may be formulated in terms of the states and controls by applying a constrained version of the Lagrange-d’Alembert principle.
Antmann   +34 more
core   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 5, May 2026.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

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