Pre-compensation for the Dynamic Nonlinearity of Wideband Wireless Transmitters Using Augmented Wiener Predistorters

Author(s):  
Taijun Liu ◽  
S. Boumaiza ◽  
F.M. Ghannouchi
2012 ◽  
Vol 204-208 ◽  
pp. 557-561
Author(s):  
Hong Yan Xi ◽  
Jun Hua Zhang ◽  
Jing Sun ◽  
Jing Li ◽  
You Qing Wang ◽  
...  

Strong earthquake ground motion leads to residual displacements of gravity retaining walls. Since large deformation occurs in foundation soil, nonlinear mechanical behavior should not be neglected in numerical modeling. The inversion methodology in geophysics is borrowed here to study the nonlinearity, i.e. the variation of shear modulus and damping ratio with the increase of shear strain of soil. A simplified model for the seismic displacement of retaining walls is combined with a genetic algorithm for the inversion. The dynamic shear modulus and damping ratio curves, representing the nonlinear property of foundation soil in a centrifuge test for gravity retaining walls, is obtained by the use of an inversion scheme. The result indicates that, for low level of shear strain, the shear modulus is larger than that used in the literature, implying that the model ground may be stiffer than expectation. For high level of shear strain, the inverted damping ratio is larger than the conventional one, which has efficiently suppressed an overestimation of seismic displacements. It is also displayed that the inversion method is an effective way to obtain quantitatively the dynamic nonlinearity of foundation soil of gravity retaining walls.


2018 ◽  
Vol 36 (20) ◽  
pp. 4736-4751
Author(s):  
Yingxiong Song ◽  
Yueting Xu ◽  
Caixia Kuang ◽  
Rujian Lin

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
A. Jayachitra ◽  
R. Vinodha

Genetic algorithm (GA) based PID (proportional integral derivative) controller has been proposed for tuning optimized PID parameters in a continuous stirred tank reactor (CSTR) process using a weighted combination of objective functions, namely, integral square error (ISE), integral absolute error (IAE), and integrated time absolute error (ITAE). Optimization of PID controller parameters is the key goal in chemical and biochemical industries. PID controllers have narrowed down the operating range of processes with dynamic nonlinearity. In our proposed work, globally optimized PID parameters tend to operate the CSTR process in its entire operating range to overcome the limitations of the linear PID controller. The simulation study reveals that the GA based PID controller tuned with fixed PID parameters provides satisfactory performance in terms of set point tracking and disturbance rejection.


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