Adaptive control of uncertain nonaffine nonlinear systems with input saturation using neural networks
K Esfandiari, F Abdollahi… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
This paper presents a tracking control methodology for a class of uncertain nonlinear
systems subject to input saturation constraint and external disturbances. Unlike most …
systems subject to input saturation constraint and external disturbances. Unlike most …
[图书][B] Fault diagnosis of nonlinear systems using a hybrid approach
E Sobhani-Tehrani, K Khorasani - 2009 - books.google.com
Theincreasingcomplexityofspacevehiclessu…, andthecostreduction measures that have
affected satellite operators are increasingly driving the need for more autonomy in satellite …
affected satellite operators are increasingly driving the need for more autonomy in satellite …
Comparative study of neural networks for dynamic nonlinear systems identification
R Kumar, S Srivastava, JRP Gupta, A Mohindru - Soft Computing, 2019 - Springer
In this paper, a comparative study is performed to test the approximation ability of different
neural network structures. It involves three neural networks multilayer feedforward neural …
neural network structures. It involves three neural networks multilayer feedforward neural …
Improved learning algorithm for two-layer neural networks for identification of nonlinear systems
JAR Vargas, W Pedrycz, EM Hemerly - Neurocomputing, 2019 - Elsevier
This study is concerned with the asymptotic identification of nonlinear systems based on
Lyapunov theory and two-layer neural networks. An improved identification model enhanced …
Lyapunov theory and two-layer neural networks. An improved identification model enhanced …
[HTML][HTML] A method for weighing broiler chickens using improved amplitude-limiting filtering algorithm and BP neural networks
W Ma, Q Li, J Li, L Ding, Q Yu - Information Processing in Agriculture, 2021 - Elsevier
Broiler chickens are traditionally weighed by steelyard or platform scale, which is time-
consuming and labor-intensive. Broiler chickens usually exhibit stress-related behavior …
consuming and labor-intensive. Broiler chickens usually exhibit stress-related behavior …
Identification and control for singularly perturbed systems using multitime-scale neural networks
Many well-established singular perturbation theories for singularly perturbed systems
require the full knowledge of system model parameters. In order to obtain an accurate and …
require the full knowledge of system model parameters. In order to obtain an accurate and …
An adaptive modeling method for a robot belt grinding process
S Yixu, L Hongbo, Y Zehong - IEEE/ASME Transactions on …, 2011 - ieeexplore.ieee.org
A robot belt grinding system has a good prospect for releasing hand grinders from their dirty
and noisy work environment. However, as a kind of manufacturing system with a flexible …
and noisy work environment. However, as a kind of manufacturing system with a flexible …
Constrained PI tracking control for output probability distributions based on two-step neural networks
In this paper, a new method for the control of the shape of the conditional output probability
density function (pdf) for general nonlinear dynamic stochastic systems is presented using …
density function (pdf) for general nonlinear dynamic stochastic systems is presented using …
Inverse double NARX fuzzy modeling for system identification
In this paper, a novel inverse double nonlinear autoregressive with exogenous input (NARX)
fuzzy model is applied to simultaneously model and identify both joints of the prototype two …
fuzzy model is applied to simultaneously model and identify both joints of the prototype two …
[PDF][PDF] Control of power system stability-reviewed solutions based on intelligent systems
AG Abro, J Mohamad-Saleh - International Journal of Innovative …, 2012 - researchgate.net
Electric power grid is a widely distributed system, consisting of dispersed generators
interconnected through transmission lines, mounting real and reactive power compensators …
interconnected through transmission lines, mounting real and reactive power compensators …