AIMC Topic: Feedback

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Adaptive Neural Control of Pure-Feedback Nonlinear Systems With Event-Triggered Communications.

IEEE transactions on neural networks and learning systems
This paper is concerned with the adaptive event-triggered control problem for a class of pure-feedback nonlinear systems. Unlike the existing results where the control execution is periodic, the new proposed scheme updates the controller and the neur...

Global stabilization analysis of inertial memristive recurrent neural networks with discrete and distributed delays.

Neural networks : the official journal of the International Neural Network Society
This paper deals with the stabilization problem of memristive recurrent neural networks with inertial items, discrete delays, bounded and unbounded distributed delays. First, for inertial memristive recurrent neural networks (IMRNNs) with second-orde...

Quasi-projective synchronization of fractional-order complex-valued recurrent neural networks.

Neural networks : the official journal of the International Neural Network Society
In this paper, without separating the complex-valued neural networks into two real-valued systems, the quasi-projective synchronization of fractional-order complex-valued neural networks is investigated. First, two new fractional-order inequalities a...

Generalized pinning synchronization of delayed Cohen-Grossberg neural networks with discontinuous activations.

Neural networks : the official journal of the International Neural Network Society
In this article, generalized pinning synchronization problem is investigated for a class of Cohen-Grossberg neural networks with discontinuous neuron activations and mixed delays. By designing generalized pinning state-feedback and adaptive controlle...

Robust generalized Mittag-Leffler synchronization of fractional order neural networks with discontinuous activation and impulses.

Neural networks : the official journal of the International Neural Network Society
Fractional order system is playing an increasingly important role in terms of both theory and applications. In this paper we investigate the global existence of Filippov solutions and the robust generalized Mittag-Leffler synchronization of fractiona...

Investigating the Effect of Simulator Functional Fidelity and Personalized Feedback on Central Venous Catheterization Training.

Journal of surgical education
OBJECTIVE: To compare the effect of simulator functional fidelity (manikin vs a Dynamic Haptic Robotic Trainer [DHRT]) and personalized feedback on surgical resident self-efficacy and self-ratings of performance during ultrasound-guided internal jugu...

Neural robust stabilization via event-triggering mechanism and adaptive learning technique.

Neural networks : the official journal of the International Neural Network Society
The robust control synthesis of continuous-time nonlinear systems with uncertain term is investigated via event-triggering mechanism and adaptive critic learning technique. We mainly focus on combining the event-triggering mechanism with adaptive cri...

Force Modeling, Identification, and Feedback Control of Robot-Assisted Needle Insertion: A Survey of the Literature.

Sensors (Basel, Switzerland)
Robot-assisted surgery is of growing interest in the surgical and engineering communities. The use of robots allows surgery to be performed with precision using smaller instruments and incisions, resulting in shorter healing times. However, using cur...

Leukocyte Image Segmentation Using Novel Saliency Detection Based on Positive Feedback of Visual Perception.

Journal of healthcare engineering
This paper presents a novel method for salient object detection in nature image by simulating microsaccades in fixational eye movements. Due to a nucleated cell usually stained that is salient obviously, the proposed method is suitable to segment nuc...

Globally fixed-time synchronization of coupled neutral-type neural network with mixed time-varying delays.

PloS one
This paper mainly studies the globally fixed-time synchronization of a class of coupled neutral-type neural networks with mixed time-varying delays via discontinuous feedback controllers. Compared with the traditional neutral-type neural network mode...