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Spatial Adaptive Iterative Learning Control Based High-Speed Train Operation Tracking under External Disturbance
AbstractIn order to solve the trajectory tracking problem of high-speed train automatic operation systems under external random disturbance, the...
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Quantized Iterative Learning Bipartite Containment Tracking Control for Unknown Nonlinear Multi-agent Systems
This paper proposes a quantized model-free adaptive iterative learning control (MFAILC) algorithm to solve the bipartite containment tracking problem...
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Research on Fuzzy Iterative Learning Control of Pneumatic Artificial Muscle
In order to achieve high-precision and rapid trajectory tracking control of pneumatic artificial muscle, a fuzzy iterative learning control scheme is...
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Adaptive Iterative Learning Control for Permanent Magnet Linear Synchronous Motor
For the parameters uncertainties and nonlinear disturbances for permanent magnet linear synchronous motor (PMLSM), an adaptive iterative learning...
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Visual transductive learning via iterative label correction
Unsupervised domain adaptation (UDA) aims to transfer knowledge across domains when there is no labeled data available in the target domain. In this...
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Iterative Learning Control with Variable Trajectory Length in the Presence of Noise
This scientific paper addresses the problem of iterative learning control for the design of linear discrete-time multiple-input-multiple-output...
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Planogram compliance control via object detection, sequence alignment, and focused iterative search
Smart retail stores are becoming the fact of our lives. Several computer vision and sensor based systems are working together to achieve such a...
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Segment-wise learning control for trajectory tracking of robot manipulators under iteration-dependent periods
This paper is concerned with the amplitude boundedness problem of adaptive iterative learning control (AILC) for robot manipulators operating with...
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Fault estimator design based on an iterative-learning scheme according to the forgetting factor for nonlinear systems
In this study, an iterative-learning-based fault estimator with the forgetting factor is proposed in response to the requirement of fault estimation...
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Design and Iterative Learning Control of Intelligent Cooperative Manipulator
In view of the shortcomings of the existing service robot manipulator, such as low flexibility and small load, the tendon-sheath transmission is...
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FES-Based Hand Movement Control via Iterative Learning Control with Forgetting Factor
Functional electrical stimulation (FES) is an effective approach to restore hand movement function for patients with stroke. In this paper, a...
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The Control Strategy of Manipulator Based on Fractional-Order Iterative Learning
AbstractIn order to improve the control accuracy between the joints of the manipulator for non-linear uncertain systems such as single-joint...
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ICSMPC: Design of an Iterative-Learning Contextual Side Chaining Model for Improving Security of Priority-Aware Cloud Resources
Purpose: A wide variety of encryption-based, key-exchange-based, privacy-based, and confidentiality-based models are proposed by researchers, which...
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Iterative Learning Control for Encoding-Decoding Method with Data Dropout at Both Measurement and Actuator Sides
This paper investigates the problem of iterative learning control in networked structures, with a specific focus on addressing random data dropout at...
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Multi-agent reinforcement learning behavioral control for nonlinear second-order systems
Reinforcement learning behavioral control (RLBC) is limited to an individual agent without any swarm mission, because it models the behavior priority...
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FP-GCN: fine pseudo-label driven iterative GCN to learning discriminative fusion features for unsupervised person re-identification
Unsupervised person re-identification (RE-ID) has attracted increasing attention recently due to its low costs and high application values....
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Control learning rate for autism facial detection via deep transfer learning
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that affects social interaction and communication. Early detection of ASD can...
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Iterative learning-based path control for robot-assisted upper-limb rehabilitation
In robot-assisted rehabilitation, the performance of robotic assistance is dependent on the human user’s dynamics, which are subject to...
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TimeLink: enabling dynamic runtime prediction for Flink iterative jobs
With the increasing growth of data scale and computing complexity, Flink, a novel distributed computing system, has been applied in various scenarios...
