Estimation of clay content by magnetic susceptibility in tropical soils using linear and nonlinear models

Geoderma ◽  
2021 ◽  
Vol 403 ◽  
pp. 115371
Author(s):  
Vinicius Augusto Filla ◽  
Anderson Prates Coelho ◽  
Adrien Dorvalino Ferroni ◽  
Angélica Santos Rabelo de Souza Bahia ◽  
José Marques Júnior
Keyword(s):  
Magnetic Susceptibility ◽  
Nonlinear Models ◽  
Clay Content ◽  
Tropical Soils ◽  
Linear And Nonlinear

Comparison of linear and nonlinear models to estimate body weight of Pelibuey ewes from body measurements

2021 ◽  
Vol 53 (1) ◽  
Author(s):  
Rafael Macedo-Barragán ◽  
Victalina Arredondo-Ruiz ◽  
Carlos Haubi-Segura ◽  
Paola Castillo-Zamora
Keyword(s):  
Body Weight ◽  
Nonlinear Models ◽  
Body Measurements ◽  
Linear And Nonlinear

Predicting clay content on field-moist intact tropical soils using a dried, ground VisNIR library with external parameter orthogonalization

Geoderma ◽  
2015 ◽  
Vol 259-260 ◽  
pp. 196-204 ◽  
Author(s):  
Jason P. Ackerson ◽  
José A.M. Demattê ◽  
Cristine L.S. Morgan
Keyword(s):  
Clay Content ◽  
Tropical Soils ◽  
External Parameter

scholarly journals Evaluation of a FO-PID Controller in a Buck DC/DC Converter Model

2019 ◽  
pp. 1-8
Author(s):  
German A Munoz-Hernandez ◽  
Ana S Damian-Mora ◽  
Jose Ramirez-Espinoza ◽  
Jesus Chavez-Galan
Keyword(s):  
Fractional Order ◽  
Pid Controller ◽  
Nonlinear Models ◽  
Electrical Energy ◽  
Degree Of Freedom ◽  
Pid Controllers ◽  
Adaptive Controllers ◽  
Operational Conditions ◽  
Linear And Nonlinear ◽  
Common Device

The applications of electrical energy converters are wide. It is a common device that can be found in almost every apparatus, both industrial and domestic. This work will deal with linear and nonlinear models of DC/DC converters. Those models will used to probe, by simulation, classic and advance controllers. PID controllers have shown a good response regulating DC/DC converters, for that reason the inclusion of two more degree of freedom due to the Integral and derivative of Fractional Order, could improve the performance of these controllers. Furthermore, Piecewise modeling can be useful to obtain adaptive controllers whose parameters change at different operational conditions.

scholarly journals Automated Image Registration: II. Intersubject Validation of Linear and Nonlinear Models

1998 ◽  
Vol 22 (1) ◽  
pp. 153-165 ◽  
Author(s):  
Roger P. Woods ◽  
Scott T. Grafton ◽  
John D. G. Watson ◽  
Nancy L. Sicotte ◽  
John C. Mazziotta
Keyword(s):  
Image Registration ◽  
Nonlinear Models ◽  
Linear And Nonlinear ◽  
Automated Image Registration

scholarly journals Modified Variational Iteration Algorithm-II: Convergence and Applications to Diffusion Models

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Hijaz Ahmad ◽  
Tufail A. Khan ◽  
Predrag S. Stanimirović ◽  
Yu-Ming Chu ◽  
Imtiaz Ahmad
Keyword(s):  
Differential Equations ◽  
Numerical Solutions ◽  
Nonlinear Models ◽  
Nonlinear Differential Equations ◽  
Variational Iteration Method ◽  
Iteration Algorithm ◽  
Compact Finite Difference Method ◽  
Variational Iteration ◽  
Linear And Nonlinear ◽  
The Stability

Variational iteration method has been extensively employed to deal with linear and nonlinear differential equations of integer and fractional order. The key property of the technique is its ability and flexibility to investigate linear and nonlinear models conveniently and accurately. The current study presents an improved algorithm to the variational iteration algorithm-II (VIA-II) for the numerical treatment of diffusion as well as convection-diffusion equations. This newly introduced modification is termed as the modified variational iteration algorithm-II (MVIA-II). The convergence of the MVIA-II is studied in the case of solving nonlinear equations. The main advantage of the MVIA-II improvement is an auxiliary parameter which makes sure a fast convergence of the standard VIA-II iteration algorithm. In order to verify the stability, accuracy, and computational speed of the method, the obtained solutions are compared numerically and graphically with the exact ones as well as with the results obtained by the previously proposed compact finite difference method and second kind Chebyshev wavelets. The comparison revealed that the modified version yields accurate results, converges rapidly, and offers better robustness in comparison with other methods used in the literature. Moreover, the basic idea depicted in this study is relied upon the possibility of the MVIA-II being utilized to handle nonlinear differential equations that arise in different fields of physical and biological sciences. A strong motivation for such applications is the fact that any discretization, transformation, or any assumptions are not required for this proposed algorithm in finding appropriate numerical solutions.

A comparison of optimal MIMO linear and nonlinear models for brain–machine interfaces

2006 ◽  
Vol 3 (2) ◽  
pp. 145-161 ◽  
Author(s):  
S-P Kim ◽  
J C Sanchez ◽  
Y N Rao ◽  
D Erdogmus ◽  
J M Carmena ◽  
...  
Keyword(s):  
Nonlinear Models ◽  
Brain Machine Interfaces ◽  
Linear And Nonlinear
Sign in / Sign up

Export Citation Format

Share Document