Results 31 to 40 of about 997,994 (266)
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
doaj
Effects of working memory load and CS-US intervals on delay eyeblink conditioning
npj Science of Learning, 2023 Eyeblink conditioning is used in many species to study motor learning and make inferences about cerebellar function. However, the discrepancies in performance between humans and other species combined with evidence that volition and awareness can ...
Leila Etemadi +2 more
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RSS Tracking Control for AVs Under Bayesian-Network-Based Intelligent Learning Scheme
ActuatorsIn complex real-world traffic environments, the task of automatic lane changing becomes extremely challenging for vehicle control systems. Traditional control methods often lack the flexibility and intelligence to accurately capture and respond to ...
Kun Zhang, Kezhen Han, Nanbin Zhao
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Deep Controlled Learning for Inventory Control
European Journal of Operational ResearchThe application of Deep Reinforcement Learning (DRL) to inventory management is an emerging field. However, traditional DRL algorithms, originally developed for diverse domains such as game-playing and robotics, may not be well-suited for the specific challenges posed by inventory management.
Tarkan Temizöz +4 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
Multilayer perceptron learning control [PDF]
, 1996 It has been shown that, when used for pattern recognition with supervised learning, a network with one hidden layer tends to the optimal Bayesian classifier provided that three parameters simultaneously tend to certain limiting values: the sample size and the number of cells in the hidden layer must both tend to infinity and some mean error function ...
Verley, Gilles +1 more
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Iterative learning control of integer and noninteger order: An overview [PDF]
Scientific Technical Review, 2014 This paper provides an overview of the recently presented and published results relating to the use of iterative learning control (ILC) based on and integer and fractional order.
Lazarević Mihailo
doaj
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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IEEE Transactions on Quantum EngineeringThe stabilization of quantum states is a fundamental problem for realizing various quantum technologies. Measurement-based-feedback strategies have demonstrated powerful performance, and the construction of quantum control signals using measurement ...
Chunxiang Song +3 more
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