Results 11 to 20 of about 158,186 (268)

Adaptive NN Control of Input-Delayed Stochastic Nonlinear Systems With States and Input Quantization

open access: yesIEEE Access, 2022
In this article, the adaptive neural control problem is studied for the input-delayed stochastic nonlinear system that has both states and input quantization.
Yadong Yang   +4 more
doaj   +1 more source

Robust Adaptive Neural Sliding Mode Approach for Tracking Control of a MEMS Triaxial Gyroscope

open access: yesInternational Journal of Advanced Robotic Systems, 2012
In this paper, a neural network adaptive sliding mode control is proposed for an MEMS triaxial gyroscope with unknown system nonlinearities. An input-output linearization technique is incorporated into the neural adaptive tracking control to cancel the ...
Juntao Fei   +4 more
doaj   +1 more source

Neural control of chronic stress adaptation [PDF]

open access: yesFrontiers in Behavioral Neuroscience, 2013
Stress initiates adaptive processes that allow the organism to physiologically cope with prolonged or intermittent exposure to real or perceived threats. A major component of this response is repeated activation of glucocorticoid secretion by the hypothalamo-pituitary-adrenocortical (HPA) axis, which promotes redistribution of energy in a wide range of
openaire   +3 more sources

Adaptive Critic Based Optimal Neurocontrol of a Distributed Microwave Heating System Using Diagonal Recurrent Network

open access: yesIEEE Access, 2018
The dynamic capture ability of diagonal recurrent neural network (DRNN) makes them a suitable candidate for implementing real-time nonlinear adaptive controllers to handle the nonlinearity and uncertainty of high-power distributed microwave heating ...
Tong Liu   +3 more
doaj   +1 more source

Neural-Fuzzy-Based Adaptive Sliding Mode Automatic Steering Control of Vision-based Unmanned Electric Vehicles

open access: yesChinese Journal of Mechanical Engineering, 2021
This paper presents a novel neural-fuzzy-based adaptive sliding mode automatic steering control strategy to improve the driving performance of vision-based unmanned electric vehicles with time-varying and uncertain parameters.
Jinghua Guo   +4 more
doaj   +1 more source

Adaptive Control of Nonlinear Discrete-Time Systems by Using OS-ELM Neural Networks

open access: yesAbstract and Applied Analysis, 2014
As a kind of novel feedforward neural network with single hidden layer, ELM (extreme learning machine) neural networks are studied for the identification and control of nonlinear dynamic systems.
Xiao-Li Li   +3 more
doaj   +1 more source

ADAPTIVE SYSTEM CONTROL WITH PID NEURAL NETWORKS

open access: yesChemical Engineering Transactions, 2009
Not available.
F. Shahraki   +2 more
doaj   +1 more source

Adaptive Neural Network Iterative Sliding Mode Course Tracking Control for Unmanned Surface Vessels

open access: yesJournal of Mathematics, 2022
In view of the problem of course tracking control of under-driven USV under complex external environment, the adaptive control law is designed by constructing an iterative sliding mode function and using Lyapunov stability theory on the basis of the ...
Chunbo Zhao   +4 more
doaj   +1 more source

A Neural Adaptive Controller in Flapping Flight

open access: yesJournal of Robotics and Mechatronics, 2012
In this paper, we propose a neural adaptive controller for attitude control in a flapping-wing insect model. The model is nonlinear and subjected to periodic force/torque generated by nominal wing kinematics. Two sets of model parameters are obtained from the fruit flyDrosophila melanogasterand the honey beeApis mellifera.
Bo Cheng 0002, Xinyan Deng
openaire   +1 more source

Adaptive Neural Sliding Mode Control of Active Power Filter

open access: yesJournal of Applied Mathematics, 2013
A radial basis function (RBF) neural network adaptive sliding mode control system is developed for the current compensation control of three-phase active power filter (APF). The advantages of the adaptive control, neural network control, and sliding mode
Juntao Fei, Zhe Wang
doaj   +1 more source

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