Results 41 to 50 of about 1,298,312 (212)
A 2D systems approach to iterative learning control for discrete linear processes with zero Markov parameters [PDF]
, 2011 In this paper a new approach to iterative learning control for the practically relevant case of deterministic discrete linear plants with uniform rank greater than unity is developed.
Cai, Z +11 more
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SICE Journal of Control, Measurement, and System Integration, 2018 This paper presents a novel unified approach of controller design and identification for unknown input affine nonlinear systems. An issue with obtaining the best performance of optimal control is that identification errors degrade control performance ...
Yuji Ito +3 more
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The Effect of Fast and Slow Music on Depth Perception of Female Young Athletes in Fatigue Condition [PDF]
رشد و یادگیری حرکتی ورزشی, 2018 The aim of this study was to investigate the effect of music types on depth perception during fatigue. Statistical population consisted of female students of Faculty of Physical Education at University of Tehran.
Franak Poorhosseini +1 more
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Fractional-order iterative learning control for singular fractional- order system: (P) - PDa type [PDF]
Scientific Technical Review, 2016 Iterative learning control (ILC) is one of the recent topics in control theories and it is suitable for controlling a wider class of mechatronic systems - it is especially suitable for the motion control of robotic systems.
Lazarević Mihailo +4 more
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IS THERE A LINK BETWEEN SPINE AND HIP MOBILITY?
Exercise and Quality of Life, 2012 Measurement of spinal range of motion is frequently used objective approach inassessment of patients with low back pain, also because of the ease of use.
Miroslav Savič, Nejc Sarabon
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Frontiers in Physiology, 2021 Background: Monitoring phasic responses of heart rate variability (HRV) in terms of HRV reactivity [i. e., the absolute change from resting state to on-task (i.e., absolute values of HRV measured during exercise)] might provide useful insights into the ...
Patrick Manser +5 more
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IEEE Transactions on Neural Networks, 2004 One of the amazing successes of biological systems is their ability to "learn by doing" and so adapt to their environment. In this paper, first, a deterministic learning mechanism is presented, by which an appropriately designed adaptive neural controller is capable of learning closed-loop system dynamics during tracking control to a periodic reference
Cong Wang 0007, David J. Hill 0001
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Hybrid Learning-Based Control of Closed-Kinematic Chain Mechanism Robot Manipulators
ActuatorsThis paper presents a novel hybrid learning-based control scheme for position control of robot manipulators whose structure is based on a closed-kinematic-chain mechanism (CKCM).
Charles C. Nguyen +4 more
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Frontiers in Aging Neuroscience, 2022 BackgroundDementia is becoming a relevant problem worldwide. A simple screening at an early stage will be important to detect the risk of developing dementia. Vestibular dysfunction is likely to be associated with cognitive impairment. Since head-mounted
Yu Imaoka +5 more
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Learning Equations for Extrapolation and Control
CoRR, 2018 We present an approach to identify concise equations from data using a shallow neural network approach. In contrast to ordinary black-box regression, this approach allows understanding functional relations and generalizing them from observed data to unseen parts of the parameter space.
Sahoo, Subham +2 more
openaire +5 more sources