Results 21 to 30 of about 700,644 (352)

train_fmu_gym: A Functional Mock-up Unit-Based Framework to Train Reinforcement Learning Agents for Multi-Physical Systems

open access: yesIEEE Access
Deep reinforcement learning (DRL) has become increasingly popular for solving sequential decision-making problems in control applications, particularly for multi-physical systems such as vehicle and robotic motion control.
Johannes Ultsch   +2 more
doaj   +1 more source

Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning

open access: yes, 2019
The majority of current studies on autonomous vehicle control via deep reinforcement learning (DRL) utilize point-mass kinematic models, neglecting vehicle dynamics which includes acceleration delay and acceleration command dynamics.
Azad, Nasser L., Lin, Yuan, McPhee, John
core   +1 more source

Investigation of excitation force on noise and vibration caused by combustion in a gasoline engine

open access: yesNihon Kikai Gakkai ronbunshu
This study focused on the piston system and targeted vehicle interior noise caused by combustion, which is mainly due to vibration transmission in the high-speed, high-load region.
Hironao SATO   +8 more
doaj   +1 more source

New Insights into a Three-Sub-Step Composite Method and Its Performance on Multibody Systems

open access: yesMathematics, 2022
This paper develops a new implicit solution procedure for multibody systems based on a three-sub-step composite method, named TTBIF (trapezoidal–trapezoidal backward interpolation formula).
Yi Ji, Huan Zhang, Yufeng Xing
doaj   +1 more source

An Evaluation of Magneto Rheological Dampers for Controlling Gun Recoil Dynamics

open access: yesShock and Vibration, 2001
The application of magneto rheological dampers for controlling recoil dynamics is examined, using a recoil demonstrator that includes a single-shot 50 caliber BMG rifle action and a MR damper.
Mehdi Ahmadian, James C. Poynor
doaj   +1 more source

Direct yaw-moment control of an in-wheel-motored electric vehicle based on body slip angle fuzzy observer [PDF]

open access: yes, 2009
A stabilizing observer-based control algorithm for an in-wheel-motored vehicle is proposed, which generates direct yaw moment to compensate for the state deviations. The control scheme is based on a fuzzy rule-based body slip angle (beta) observer.
Denai, M.   +3 more
core   +2 more sources

β‐TrCP overexpression enhances cisplatin sensitivity by depleting BRCA1

open access: yesMolecular Oncology, EarlyView.
Low levels of β‐TrCP (Panel A) allow the accumulation of BRCA1 and CtIP, which facilitate the repair of cisplatin‐induced DNA damage via homologous recombination (HR) and promote tumor cell survival. In contrast, high β‐TrCP expression (Panel B) leads to BRCA1 and CtIP degradation, impairing HR repair, resulting in persistent DNA damage and apoptosis ...
Rocío Jiménez‐Guerrero   +8 more
wiley   +1 more source

Midcourse Guidance Law Based on High Target Acquisition Probability Considering Angular Constraint and Line-of-Sight Angle Rate Control

open access: yesInternational Journal of Aerospace Engineering, 2016
Random disturbance factors would lead to the variation of target acquisition point during the long distance flight. To acquire a high target acquisition probability and improve the impact precision, missiles should be guided to an appropriate target ...
Xiao Liu   +4 more
doaj   +1 more source

Eigenvalue sensitivity analysis based on the transfer matrix method

open access: yesInternational Journal of Mechanical System Dynamics, 2021
For linear mechanical systems, the transfer matrix method is one of the most efficient modeling and analysis methods. However, in contrast to classical modeling strategies, the final eigenvalue problem is based on a matrix which is a highly nonlinear ...
Dieter Bestle
doaj   +1 more source

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