AIMC Topic: Feedback

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pth moment exponential stochastic synchronization of coupled memristor-based neural networks with mixed delays via delayed impulsive control.

Neural networks : the official journal of the International Neural Network Society Feb 4, 2015
This paper concerns the pth moment synchronization in an array of generally coupled memristor-based neural networks with time-varying discrete delays, unbounded distributed delays, as well as stochastic perturbations. Hybrid controllers are designed ...
Neural Networks, Computer Algorithms Feedback Time Factors Stochastic Processes Uncertainty
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Feedback error learning control of magnetic satellites using type-2 fuzzy neural networks with elliptic membership functions.

IEEE transactions on cybernetics Jan 29, 2015
A novel type-2 fuzzy membership function (MF) in the form of an ellipse has recently been proposed in literature, the parameters of which that represent uncertainties are de-coupled from its parameters that determine the center and the support. This ...
Spacecraft Pattern Recognition, Automated Feedback Neural Networks, Computer Magnetics Machine Learning Fuzzy Logic
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Stretch reflex improves rolling stability during hopping of a decerebrate biped system.

Bioinspiration & biomimetics Jan 19, 2015
When humans hop, attitude recovery can be observed in both the sagittal and frontal planes. While it is agreed that the brain plays an important role in leg placement, the role of low-level feedback (the stretch reflex) on frontal plane stabilization...
Robotics Decerebrate State Postural Balance Reflex, Stretch Feedback Biomimetics Equipment Failure Analysis Humans Muscle, Skeletal Feedback, Physiological Equipment Design Gait Muscle Contraction Task Performance and Analysis
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Receding Horizon Stabilization and Disturbance Attenuation for Neural Networks With Time-Varying Delay.

IEEE transactions on cybernetics Dec 30, 2014
This paper is concerned with the problems of receding horizon stabilization and disturbance attenuation for neural networks with time-varying delay. New delay-dependent conditions on the terminal weighting matrices of a new finite horizon cost functi...
Neural Networks, Computer Feedback Time Factors
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Adaptive control of uncertain nonaffine nonlinear systems with input saturation using neural networks.

IEEE transactions on neural networks and learning systems Dec 19, 2014
This paper presents a tracking control methodology for a class of uncertain nonlinear systems subject to input saturation constraint and external disturbances. Unlike most previous approaches on saturated systems, which assumed affine nonlinear syste...
Feedback Nonlinear Dynamics Computer Simulation Learning Adaptation, Physiological Humans Uncertainty Neural Networks, Computer Algorithms
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Online monitoring and control of particle size in the grinding process using least square support vector regression and resilient back propagation neural network.

ISA transactions Dec 17, 2014
Particle size soft sensing in cement mills will be largely helpful in maintaining desired cement fineness or Blaine. Despite the growing use of vertical roller mills (VRM) for clinker grinding, very few research work is available on VRM modeling. Thi...
Models, Statistical Regression Analysis Feedback Support Vector Machine Online Systems Chemical Industry Particle Size Least-Squares Analysis Algorithms Computer Simulation
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Fully probabilistic control for stochastic nonlinear control systems with input dependent noise.

Neural networks : the official journal of the International Neural Network Society Dec 17, 2014
Robust controllers for nonlinear stochastic systems with functional uncertainties can be consistently designed using probabilistic control methods. In this paper a generalised probabilistic controller design for the minimisation of the Kullback-Leibl...
Feedback Models, Statistical Neural Networks, Computer Nonlinear Dynamics Algorithms
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Dynamic Surface Control Using Neural Networks for a Class of Uncertain Nonlinear Systems With Input Saturation.

IEEE transactions on neural networks and learning systems Dec 4, 2014
In this paper, a dynamic surface control (DSC) scheme is proposed for a class of uncertain strict-feedback nonlinear systems in the presence of input saturation and unknown external disturbance. The radial basis function neural network (RBFNN) is emp...
Humans Uncertainty Feedback Neural Networks, Computer Nonlinear Dynamics Computer Simulation
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Robust sequential learning of feedforward neural networks in the presence of heavy-tailed noise.

Neural networks : the official journal of the International Neural Network Society Nov 15, 2014
Feedforward neural networks (FFNN) are among the most used neural networks for modeling of various nonlinear problems in engineering. In sequential and especially real time processing all neural networks models fail when faced with outliers. Outliers...
Feedback Bayes Theorem Neural Networks, Computer Algorithms
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RBF-network based sparse signal recovery algorithm for compressed sensing reconstruction.

Neural networks : the official journal of the International Neural Network Society Nov 8, 2014
The approach of applying a cascaded network consisting of radial basis function nodes and least square error minimization block to Compressed Sensing for recovery of sparse signals is analyzed in this paper to improve the computation time and converg...
Feedback Data Compression Neural Networks, Computer Algorithms
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