Results 51 to 60 of about 1,298,312 (212)
Learning-Based Model Predictive Control: Toward Safe Learning in Control [PDF]
Annual Review of Control, Robotics, and Autonomous Systems, 2020 Recent successes in the field of machine learning, as well as the availability of increased sensing and computational capabilities in modern control systems, have led to a growing interest in learning and data-driven control techniques. Model predictive control (MPC), as the prime methodology for constrained control, offers a significant opportunity ...
Lukas Hewing +3 more
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Knowledge representation issues in control knowledge learning [PDF]
, 2000 Seventeenth International Conference on Machine Learning. Stanford, CA, USA, 29 June-2 July, 2000Knowledge representation is a key issue for any machine learning task.
Borrajo, Daniel +5 more
core
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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The Effect of Perceptual Motor Training and Cognitive Games on Cognitive Development in Mentally Retarded Children [PDF]
رشد و یادگیری حرکتی ورزشی, 2019 The aim of this study was to compare the effectiveness of perceptual motor training and cognitive games on cognitive development in mentally retarded children.
Ali Kashi +2 more
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Reinforcement learning for control of valves
Machine Learning with Applications, 2021 This paper is a study of reinforcement learning (RL) as an optimal-control strategy for control of nonlinear valves. It is evaluated against the PID (proportional-integral-derivative) strategy, using a unified framework. RL is an autonomous learning mechanism that learns by interacting with its environment.
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IEEE Access, 2023 In this paper, a quality diversity optimization method (QDOM) based on an adaptive bound-searching algorithm and diversity-selecting immune algorithm is proposed for solving bilinear matrix inequality (BMI) problems in control system design. By using the
Shiuan-Yeh Chen +2 more
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Iterative learning control for multiple point-to-point tracking application [PDF]
, 2011 A framework is developed which enables a general class of linear Iterative Learning Control (ILC) algorithms to be applied to tracking tasks which require the plant output to reach given points at predetermined time instants, without the need for ...
Cai, Zhonglun +7 more
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Malaria Journal, 2020 Background Malaria is one of the main causes of death in Angola, particularly among children under 5 years of age. An essential means to improve the situation is with strong malaria case management; this includes diagnosing suspected patients with a ...
Sergio C. Lopes +8 more
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Emergence of Meta-Stability and the Extent of Metastable Regions in Fencers with Different Motor Skill Levels [PDF]
رشد و یادگیری حرکتی ورزشی, 2017 Meta-stability is a relatively stable region in which system components tend to cooperate to reach performance goals of movement while maintaining their separate and flexible characters.
Bahram Ghafari +3 more
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Efficient Reject Options for Particle Filter Object Tracking in Medical Applications
Sensors, 2021 Reliable object tracking that is based on video data constitutes an important challenge in diverse areas, including, among others, assisted surgery. Particle filtering offers a state-of-the-art technology for this challenge.
Johannes Kummert +6 more
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