Iot application for energy poverty detection based on thermal comfort monitoring
Heliyon, 2023 The development of a datalogger for identifying Energy Poverty (EP) using thermal comfort monitoring is described in this work. There is not a uniform definition of EP, and no global recommendations indicating the thermal comfort characteristics that ...
Ascensión López-Vargas +1 more
doaj +1 more source
Reinforcement Learning for Learning Rate Control
CoRR, 2017 7 pages, 9 ...
Chang Xu 0008 +3 more
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The Emergence of Special Skill in Basketball Free Throw with Different Levels of Expertise [PDF]
رشد و یادگیری حرکتی ورزشی, 2019 The aim of this study was to investigate the emergence of special skill in basketball free throw at different skill levels based on Newell's model of learning stages.
Faranak Poorhosseini +2 more
doaj +1 more source
On the convergence of iterative learning control [PDF]
Automatica, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohammad Mahdi Ghazaei Ardakani +2 more
openaire +3 more sources
Learning Sequential Composition Control [PDF]
IEEE Transactions on Cybernetics, 2016 Sequential composition is an effective supervisory control method for addressing control problems in nonlinear dynamical systems. It executes a set of controllers sequentially to achieve a control specification that cannot be realized by a single controller.
Esmaeil Najafi +2 more
openaire +3 more sources
Towards distributed adaptive control for road traffic junction signals using learning classifier systems [PDF]
, 2004 This chapter considers an approach to distributed traffic responsive signal controlusing Learning Classifier Systems (Holland, 1976). The intention is to accommodaterealistic kinds of detector data and wide ranges of candidate performance criteria ...
Bull, L +18 more
core +1 more source
Deep Q-learning: a robust control approach [PDF]
, 2022 In this paper, we place deep Q-learning into a control-oriented perspective and study its learning dynamics with well-established techniques from robust control.
Kulcs\ue1r, Bal\ue1zs Adam +11 more
core +1 more source
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
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
doaj +1 more source
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
doaj +1 more source