AIMC Topic: Uncertainty

Clear Filters Showing 701 to 706 of 706 articles

A cable-driven wrist robotic rehabilitator using a novel torque-field controller for human motion training.

The Review of scientific instruments Jun 1, 2015
Rehabilitation technologies have great potentials in assisted motion training for stroke patients. Considering that wrist motion plays an important role in arm dexterous manipulation of activities of daily living, this paper focuses on developing a c...
Humans Algorithms Biomechanical Phenomena Models, Theoretical Robotics Equipment Design Wrist Feasibility Studies Motion Torque Pattern Recognition, Automated Forearm Motor Activity Uncertainty Musculoskeletal Manipulations
View on PubMed DOI

Probabilistic machine learning and artificial intelligence.

Nature May 28, 2015
How can a machine learn from experience? Probabilistic modelling provides a framework for understanding what learning is, and has therefore emerged as one of the principal theoretical and practical approaches for designing machines that learn from da...
Artificial Intelligence Models, Statistical Bayes Theorem Automation Statistics, Nonparametric Data Compression Uncertainty
View on PubMed DOI

Comparison between target margins derived from 4DCT scans and real-time tumor motion tracking: insights from lung tumor patients treated with robotic radiosurgery.

Medical physics Mar 1, 2015
PURPOSE: A unique capability of the CyberKnife system is dynamic target tracking. However, not all patients are eligible for this approach. Rather, their tumors are tracked statically using the vertebral column for alignment. When using static tracki...
Humans Aged Time Factors Lung Neoplasms Robotics Radiotherapy Planning, Computer-Assisted Radiosurgery Movement Uncertainty Four-Dimensional Computed Tomography
View on PubMed DOI

A simplified adaptive neural network prescribed performance controller for uncertain MIMO feedback linearizable systems.

IEEE transactions on neural networks and learning systems Mar 1, 2015
In this paper, the problem of deriving a continuous, state-feedback controller for a class of multiinput multioutput feedback linearizable systems is considered with special emphasis on controller simplification and reduction of the overall design co...
Neural Networks, Computer Nonlinear Dynamics Uncertainty
View on PubMed DOI

Neural network-based finite-horizon optimal control of uncertain affine nonlinear discrete-time systems.

IEEE transactions on neural networks and learning systems Mar 1, 2015
In this paper, the finite-horizon optimal control design for nonlinear discrete-time systems in affine form is presented. In contrast with the traditional approximate dynamic programming methodology, which requires at least partial knowledge of the s...
Neural Networks, Computer Time Factors Nonlinear Dynamics Uncertainty
View on PubMed DOI

Consensus-based distributed cooperative learning from closed-loop neural control systems.

IEEE transactions on neural networks and learning systems Feb 1, 2015
In this paper, the neural tracking problem is addressed for a group of uncertain nonlinear systems where the system structures are identical but the reference signals are different. This paper focuses on studying the learning capability of neural net...
Neural Networks, Computer Artificial Intelligence Algorithms Learning Communication Consensus Nonlinear Dynamics Uncertainty
View on PubMed DOI
Popular Topics
Recent Journals