Fractional order model reference adaptive control for anesthesia
G Navarro‐Guerrero, Y Tang - International Journal of Adaptive …, 2017 - Wiley Online Library
The design of a fractional order model reference adaptive control for anesthesia based on a
fractional order model is proposed in the paper. This model gets around many difficulties in …
fractional order model is proposed in the paper. This model gets around many difficulties in …
Fractional-order modeling and identification for a phantom EEG system
This paper is about dynamical modeling of an electroencephalographic (EEG) measurement
chain. It is based on a home-made experimental setup consisting of an electrolytic medium …
chain. It is based on a home-made experimental setup consisting of an electrolytic medium …
Identification of wind turbine using fractional order dynamic neural network and optimization algorithm
Z Aslipour, A Yazdizadeh - International Journal of Engineering, 2020 - ije.ir
In this paper, an efficient technique is presented to identify a 2500 KW wind turbine
operating in Kahak wind farm, Qazvin province, Iran. This complicated system dealing with …
operating in Kahak wind farm, Qazvin province, Iran. This complicated system dealing with …
Fractional-order closed-loop model reference adaptive control for anesthesia
G Navarro-Guerrero, Y Tang - Algorithms, 2018 - mdpi.com
The design of a fractional-order closed-loop model reference adaptive control (FOCMRAC)
for anesthesia based on a fractional-order model (FOM) is proposed in the paper. This …
for anesthesia based on a fractional-order model (FOM) is proposed in the paper. This …
Identification of Damavand tokamak using fractional order dynamic neural network
Z Aslipour, A Yazdizadeh - Transactions of the Institute of …, 2019 - journals.sagepub.com
The Damavand tokamak is a small size research machine for fusion-related studies. This
paper is motivated by the need to create an accurate nonlinear subspace model that may be …
paper is motivated by the need to create an accurate nonlinear subspace model that may be …
Order and parameter identification for a non-integer-order model of an EEG system
This paper studies a fractional order model for the dynamics of an ElectroEn-
cephaloGraphic (EEG) recording system. The data are collected from a home-made …
cephaloGraphic (EEG) recording system. The data are collected from a home-made …
Identification of incommensurate state-space fractional systems
MA González-Olvera, Y Tang - 2016 IEEE 13th International …, 2016 - ieeexplore.ieee.org
In this work we present a method to find the parameters of a fractional differential
incommensurate state-space systems based on pulse transformation, considering only the …
incommensurate state-space systems based on pulse transformation, considering only the …
Sample time optimization for the discrete approximation of the fractional order Charef transfer function
K Oprzędkiewicz, K Dziedzic - 2018 23rd International …, 2018 - ieeexplore.ieee.org
In the paper the sample time optimization problem for the discrete approximation of
fractional order Charef transfer function is presented. The sample time assuring the best …
fractional order Charef transfer function is presented. The sample time assuring the best …
[PDF][PDF] Robust Adaptive Observer for a Muscular Blood Vessel Fractional-Order Model
MA González-Olvera, AG Gallardo-Hernández… - revistadigital.amca.mx
Coronary disease modeling and prevention has proven critical to medical applications and
patient evaluation. In this study, a robust observer for a fractional-order Muscular Blood …
patient evaluation. In this study, a robust observer for a fractional-order Muscular Blood …