Design of nonlinear control of gas turbine engine based on constant eigenvectors
S Valeev, N Kondratyeva - Machines, 2021 - mdpi.com
A gas turbine engine represents a complex dynamic control object. Its characteristics
change depending on the state of the environment and the regimes of its operation. This …
change depending on the state of the environment and the regimes of its operation. This …
[PDF][PDF] Fused attention modules embedded in artificial neural networks for low dose ct denoising with integrated loss functions
L Marcos - 2022 - rshare.library.torontomu.ca
Abstract X-ray Computed Tomography (CT) is a non-invasive medical diagnostic tool that
has raised public concerns due to the associated health risks of radiation dose to patients …
has raised public concerns due to the associated health risks of radiation dose to patients …
Design of Nonlinear Multi-Mode Controller for Gas Turbine Engine in State Space Based on Algorithmic Approach
S Valeev, N Kondratyeva - 2020 International Russian …, 2020 - ieeexplore.ieee.org
A gas turbine engine is a nonlinear and multi-mode dynamical control object. A synthesis of
a nonlinear multi-mode gas turbine engine controller in a state space is considered. An …
a nonlinear multi-mode gas turbine engine controller in a state space is considered. An …
Model-Based Architecture for Control System Design with Application of SIMO Neural Network
S Valeev, N Kondratyeva - 2021 International Russian …, 2021 - ieeexplore.ieee.org
The design problem is considered built on the model-based architecture approach as
applied to the design of control systems for nonlinear control objects. The application of a …
applied to the design of control systems for nonlinear control objects. The application of a …
Online system identification development based on recursive weighted least square neural networks of nonlinear hammerstein and wiener models.
AM Kwad - 2022 - eprints.uthm.edu.my
The realistic dynamics mathematical model of a system is very important for analyzing a
system. The mathematical system model can be derived by applying physical …
system. The mathematical system model can be derived by applying physical …
Design of Nonlinear Control of Gas Turbine Engine Based on Constant Eigenvectors. Machines 2021, 9, 49
S Valeev, N Kondratyeva - 2021 - search.proquest.com
A gas turbine engine represents a complex dynamic control object. Its characteristics
change depending on the state of the environment and the regimes of its operation. This …
change depending on the state of the environment and the regimes of its operation. This …
[PDF][PDF] Predicting stock closing prices using artificial neural networks for a sample of banks listed in the Iraqi Stock Exchange
SS Rahi, LH Malik - AL-Qadisiyah Journal For Administrative and Economic …, 2022 - iasj.net
The research aims to construct a predictive model based on the artificial neural network to
predict the stock closing price for rationalizing investment decisions. Stock prices are highly …
predict the stock closing price for rationalizing investment decisions. Stock prices are highly …