Adaptive feedback control algorithms for large data transfers in high-speed networks

2002 ◽  
Author(s):  
R. Izmailov
Keyword(s):  
Feedback Control ◽  
High Speed ◽  
Large Data ◽  
Control Algorithms ◽  
Adaptive Feedback ◽  
Adaptive Feedback Control ◽  
High Speed Networks ◽  
Data Transfers

Note on the feedback control algorithms used in high-speed networks

2004 ◽  
Vol 81 (5) ◽  
pp. 537-546 ◽  
Author(s):  
T. A. Tsiligiridis ◽  
M. P. Bekakos† ◽  
D. J. Evans‡
Keyword(s):  
Feedback Control ◽  
High Speed ◽  
Control Algorithms ◽  
High Speed Networks

Distributed and collaborative visualization of large data sets using high-speed networks

2006 ◽  
Vol 22 (8) ◽  
pp. 1004-1010 ◽  
Author(s):  
Andrei Hutanu ◽  
Gabrielle Allen ◽  
Stephen D. Beck ◽  
Petr Holub ◽  
Hartmut Kaiser ◽  
...  
Keyword(s):  
High Speed ◽  
Large Data ◽  
Large Data Sets ◽  
Data Sets ◽  
High Speed Networks ◽  
Collaborative Visualization

Open-loop adaptive feedback control of deposited zinc in hot-dip galvanizing

1993 ◽  
Vol 1 (5) ◽  
pp. 779-790 ◽  
Author(s):  
C. Fenot ◽  
F. Rolland ◽  
G. Vigneron ◽  
I.D. Landau
Keyword(s):  
Feedback Control ◽  
Open Loop ◽  
Adaptive Feedback ◽  
Adaptive Feedback Control

Adaptive Feedback Control of Nonholonomic Systems with Uncertainties

2014 ◽  
Vol 971-973 ◽  
pp. 337-340
Author(s):  
Gui Ling Ju ◽  
Wei Hai Sun ◽  
Jian Du ◽  
Yun Chang Hang
Keyword(s):  
Feedback Control ◽  
Nonholonomic Systems ◽  
The State ◽  
Output Measurement ◽  
Adaptive Feedback ◽  
Adaptive Feedback Control ◽  
Strongly Nonlinear ◽  
Output Feedback Controller ◽  
Nonlinear Uncertainties ◽  
Switching Control Strategy

This paper deals with the adaptive feedback control for the nonholonomic systems with strongly nonlinear uncertainties. The state-input scaling technique and back-stepping approach are used to design the output feedback controller. In order to make the state scaling effective, a new switching control strategy based on the output measurement of the first subsystem is employed.

scholarly journals Adaptive Feedback Control for Synchronization of Chaotic Neural Systems with Parameter Mismatches

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Qian Ye ◽  
Zhengxian Jiang ◽  
Tiane Chen
Keyword(s):  
Feedback Control ◽  
Invariance Principle ◽  
Neural Systems ◽  
Adaptive Feedback ◽  
Adaptive Feedback Control ◽  
Synchronization Problem ◽  
Feedback Method

This work pertains to the study of the synchronization problem of a class of coupled chaotic neural systems with parameter mismatches. By means of an invariance principle, a rigorous adaptive feedback method is explored for synchronization of a class of coupled chaotic delayed neural systems in the presence of parameter mismatches. Finally, the performance is illustrated with simulations in a two-order neural systems.

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