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Global neural dynamic surface tracking control of strict-feedback systems with application to hypersonic flight vehicle.

IEEE transactions on neural networks and learning systems
This paper studies both indirect and direct global neural control of strict-feedback systems in the presence of unknown dynamics, using the dynamic surface control (DSC) technique in a novel manner. A new switching mechanism is designed to combine an...

Stability and synchronization of memristor-based fractional-order delayed neural networks.

Neural networks : the official journal of the International Neural Network Society
Global asymptotic stability and synchronization of a class of fractional-order memristor-based delayed neural networks are investigated. For such problems in integer-order systems, Lyapunov-Krasovskii functional is usually constructed, whereas simila...

Adaptive neural network control of unknown nonlinear affine systems with input deadzone and output constraint.

ISA transactions
In this paper, we aim to solve the control problem of nonlinear affine systems, under the condition of the input deadzone and output constraint with the external unknown disturbance. To eliminate the effects of the input deadzone, a Radial Basis Func...

High-order tracking differentiator based adaptive neural control of a flexible air-breathing hypersonic vehicle subject to actuators constraints.

ISA transactions
In this paper, an adaptive neural controller is exploited for a constrained flexible air-breathing hypersonic vehicle (FAHV) based on high-order tracking differentiator (HTD). By utilizing functional decomposition methodology, the dynamic model is re...

Controlling legs for locomotion-insights from robotics and neurobiology.

Bioinspiration & biomimetics
Walking is the most common terrestrial form of locomotion in animals. Its great versatility and flexibility has led to many attempts at building walking machines with similar capabilities. The control of walking is an active research area both in neu...

Displaying Sensed Tactile Cues with a Fingertip Haptic Device.

IEEE transactions on haptics
Telerobotic systems enable humans to explore and manipulate remote environments for applications such as surgery and disaster response, but few such systems provide the operator with cutaneous feedback. This article presents a novel approach to remot...

Finite-time boundedness and stabilization of uncertain switched neural networks with time-varying delay.

Neural networks : the official journal of the International Neural Network Society
This paper deals with the finite-time boundedness and stabilization problem for a class of switched neural networks with time-varying delay and parametric uncertainties. Based on Lyapunov-like function method and average dwell time technique, some su...

Synchronization of Memristor-Based Coupling Recurrent Neural Networks With Time-Varying Delays and Impulses.

IEEE transactions on neural networks and learning systems
Synchronization of an array of linearly coupled memristor-based recurrent neural networks with impulses and time-varying delays is investigated in this brief. Based on the Lyapunov function method, an extended Halanay differential inequality and a ne...

MEMS sensors for assessing flow-related control of an underwater biomimetic robotic stingray.

Bioinspiration & biomimetics
A major difference between manmade underwater robotic vehicles (URVs) and undersea animals is the dense arrays of sensors on the body of the latter which enable them to execute extreme control of their limbs and demonstrate super-maneuverability. The...

Undamped Oscillations Generated by Hopf Bifurcations in Fractional-Order Recurrent Neural Networks With Caputo Derivative.

IEEE transactions on neural networks and learning systems
In this paper, a fractional-order recurrent neural network is proposed and several topics related to the dynamics of such a network are investigated, such as the stability, Hopf bifurcations, and undamped oscillations. The stability domain of the tri...