Results 61 to 70 of about 1,298,312 (212)

Robust Stability of Iterative Learning Control Schemes

open access: yes, 2007
A notion of robust stability is developed for iterative learning control in the context of disturbance attenuation. The size of the unmodelled dynamics is captured via a gap distance, which in turn is related to the standard H2 gap metric, and the ...
Mark French, French, Mark
core   +1 more source

Learning Cooperative Max-Pressure Control by Leveraging Downstream Intersections Information for Traffic Signal Control

open access: yes, 2021
Traffic signal control problems are critical in urban intersections. Recently, deep reinforcement learning demonstrates impressive performance in the control of traffic signals.
Li, Lin   +7 more
core   +1 more source

A Ten-Week Motor Skills Training Program Increases Motor Competence in Children with Developmental Coordination Disorder

open access: yesChildren, 2021
The present study aimed to investigate the effect of a motor skills training program in children with DCD considering their gender. The Movement Assessment Battery for Children (MABC-2) classified the children and assessed their skill changes over time ...
Orifjon Saidmamatov   +3 more
doaj   +1 more source

Model-based decoupling control method for dual-drive gantry stages : A case study with experimental validations

open access: yes, 2013
La version éditeur de cet article est disponible à l'adresse suivante : http://dx.doi.org/10.1016/j.conengprac.2012.10.010Industrial motion control of dual–drive gantry stages is usually performed by position controllers acting independently on each ...
COLEMAN, Ralph   +4 more
core   +1 more source

Fast State Stabilization Using Deep Reinforcement Learning for Measurement-Based Quantum Feedback Control

open access: yesIEEE Transactions on Quantum Engineering
The 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
doaj   +1 more source

Genetic programming and deductive-inductive learning: a multistrategy approach [PDF]

open access: yes, 1998
Proceedings of: 15th International Conference on Machine Learning, Madison (Wisconsin, USA), July 24-27, 1998.Genetic Programming (GP) is a machine learning technique that was not conceived to use domain knowledge for generating new candidate solutions ...
Borrajo, Daniel   +5 more
core  

Positive transfer and negative transfer/anti-learning of problem solving skills [PDF]

open access: yes, 2007
In problem solving research insights into the relationship between monitoring and control in the transfer of complex skills remain impoverished. To address this, in four experiments participants solved two complex control tasks that were identical in ...
Osman, M, Osman, M.
core   +1 more source

Sustainability of a Given Ten-Week Motor Skills Training Program for Children with Developmental Coordination Disorder

open access: yesSports, 2022
The aim of this research was to determine the sustainability of a given ten-week motor skills training program for children with developmental coordination disorder (DCD).
Orifjon Saidmamatov   +3 more
doaj   +1 more source

A Stable Self-Learning Optimal Fuzzy Control System

open access: yes, 2011
The issue of developing a stable self-learning optimal fuzzy control system is discussed in this paper. Three chief objectives are accomplished: 1) To develop a self-learning fuzzy controller based on genetic algorithms.
Lin, Sinn-cheng; Chen, Yung-yaw
core   +1 more source

Assessing Saccadic Eye Movements With Head-Mounted Display Virtual Reality Technology

open access: yesFrontiers in Psychiatry, 2020
As our society is ageing globally, neurodegenerative disorders are becoming a relevant issue. Assessment of saccadic eye movement could provide objective values to help to understand the symptoms of disorders.
Yu Imaoka   +3 more
doaj   +1 more source

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