AIMC Topic: Feedback

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Asymptotic Fuzzy Neural Network Control for Pure-Feedback Stochastic Systems Based on a Semi-Nussbaum Function Technique.

IEEE transactions on cybernetics
Most existing control results for pure-feedback stochastic systems are limited to a condition that tracking errors are bounded in probability. Departing from such bounded results, this paper proposes an asymptotic fuzzy neural network control for pur...

Treating conduct disorder: An effectiveness and natural language analysis study of a new family-centred intervention program.

Psychiatry research
This paper reports on a new family-centred, feedback-informed intervention focused on evaluating therapeutic outcomes and language changes across treatment for conduct disorder (CD). The study included 26 youth and families from a larger randomised, ...

Planar maneuvering control of underwater snake robots using virtual holonomic constraints.

Bioinspiration & biomimetics
This paper investigates the problem of planar maneuvering control for bio-inspired underwater snake robots that are exposed to unknown ocean currents. The control objective is to make a neutrally buoyant snake robot which is subject to hydrodynamic f...

Content-Based Discovery for Web Map Service using Support Vector Machine and User Relevance Feedback.

PloS one
Many discovery methods for geographic information services have been proposed. There are approaches for finding and matching geographic information services, methods for constructing geographic information service classification schemes, and automati...

Adaptive exponential synchronization of complex-valued Cohen-Grossberg neural networks with known and unknown parameters.

Neural networks : the official journal of the International Neural Network Society
The complex-valued Cohen-Grossberg neural network is a special kind of complex-valued neural network. In this paper, the synchronization problem of a class of complex-valued Cohen-Grossberg neural networks with known and unknown parameters is investi...

Random synaptic feedback weights support error backpropagation for deep learning.

Nature communications
The brain processes information through multiple layers of neurons. This deep architecture is representationally powerful, but complicates learning because it is difficult to identify the responsible neurons when a mistake is made. In machine learnin...

Finite-time synchronization of uncertain coupled switched neural networks under asynchronous switching.

Neural networks : the official journal of the International Neural Network Society
This paper deals with the finite-time synchronization problem for a class of uncertain coupled switched neural networks under asynchronous switching. By constructing appropriate Lyapunov-like functionals and using the average dwell time technique, so...

Using Self-Reliance Factors to Decide How to Share Control Between Human Powered Wheelchair Drivers and Ultrasonic Sensors.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
A shared-control scheme for a powered wheelchair is presented. The wheelchair can be operated by a wheelchair driver using a joystick, or directed by a sensor system, or control can be combined between them. The wheelchair system can modify direction...

Adaptive Neural Tracking Control for a Class of Nonlinear Systems With Dynamic Uncertainties.

IEEE transactions on cybernetics
This paper considers the problem of adaptive neural control of nonlower triangular nonlinear systems with unmodeled dynamics and dynamic disturbances. The design difficulties appeared in the unmodeled dynamics and nonlower triangular form are handled...

New results on exponential synchronization of memristor-based neural networks with discontinuous neuron activations.

Neural networks : the official journal of the International Neural Network Society
This paper investigates the exponential synchronization of delayed memristor-based neural networks (MNNs) with discontinuous activation functions. Based on the framework of Filippov solution and differential inclusion theory, using new analytical tec...