Results 1 to 10 of about 17,988,623 (311)
The Neuromuscular Fatigue-Induced Loss of Muscle Force Control. [PDF]
Sports (Basel), 2022 Neuromuscular fatigue is characterised not only by a reduction in the capacity to generate maximal muscle force, but also in the ability to control submaximal muscle forces, i.e., to generate task-relevant and precise levels of force.
Pethick J, Tallent J.
europepmc +2 more sources
Force control in chronic stroke
Neuroscience & Biobehavioral Reviews, 2015 Force control deficits are common dysfunctions after a stroke. This review concentrates on various force control variables associated with motor impairments and suggests new approaches to quantifying force control production and modulation. Moreover, related neurophysiological mechanisms were addressed to determine variables that affect force control ...
N. Kang, J. Cauraugh
semanticscholar +4 more sources
IEEE transactions on industrial electronics (1982. Print), 2021 Accurate position-force control is a core and challenging problem in robotics, especially for manipulators with redundant degrees of freedom (DOFs).
Zhihao Xu +5 more
semanticscholar +1 more source
Research on airspace sector optimization based on Voronoi diagram and improved K-means algorithm
Xibei Gongye Daxue Xuebao, 2023 Sector partition is an important task of air traffic control, and a reasonable sector partition can improve the utilization rate of airspace and protect the flight safety of aircrafts.
LIN Fugen +3 more
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Research on frequency characteristic test method of servo mechanism based on schroeder phased harmonic signal [PDF]
E3S Web of Conferences, 2019 The traditional frequency response test mainly adopts the sweep frequency sinusoid signal testing method, which has high accuracy, but takes a long time. This paper introduces the basic theory of the Schroeder Phased Harmonic Signal (SPHS) testing method.
Su Changpeng +4 more
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A hierarchical reinforcement learning method for missile evasion and guidance
Scientific Reports, 2022 This paper proposes an algorithm for missile manoeuvring based on a hierarchical proximal policy optimization (PPO) reinforcement learning algorithm, which enables a missile to guide to a target and evade an interceptor at the same time.
Mengda Yan +4 more
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Factored Multi-Agent Soft Actor-Critic for Cooperative Multi-Target Tracking of UAV Swarms
Drones, 2023 In recent years, significant progress has been made in the multi-target tracking (MTT) of unmanned aerial vehicle (UAV) swarms. Most existing MTT approaches rely on the ideal assumption of a pre-set target trajectory. However, in practice, the trajectory
Longfei Yue +5 more
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Active Interaction Force Control for Contact-Based Inspection With a Fully Actuated Aerial Vehicle
IEEE Transactions on robotics, 2020 This article presents and validates active interaction force control and planning for fully actuated and omnidirectional aerial manipulation platforms, with the goal of aerial contact inspection in unstructured environments.
K. Bodie +7 more
semanticscholar +1 more source
Science & Technique, 2023 The problem of analytical synthesis of the control acceleration of an unmanned aerial vehicle (UAV) of a multirotor type is being solved in relation to a light quadrocopter with a high flight duration. The optimal control is analytically determined for a given minimized quality functional in the form of the minimum time required to transfer the UAV ...
Penghao Gu +2 more
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