Adaptive bandwidth share estimation in TCP Westwood

2003 ◽  
Author(s):  
Ren Wang ◽  
M. Valla ◽  
M.Y. Sanadidi ◽  
M. Gerla
Keyword(s):  
Tcp Westwood ◽  
Adaptive Bandwidth ◽  
Bandwidth Share

TCP Westwood with adaptive bandwidth estimation to improve efficiency/friendliness tradeoffs

2004 ◽  
Vol 27 (1) ◽  
pp. 41-58 ◽  
Author(s):  
M Gerla ◽  
B.K.F Ng ◽  
M.Y Sanadidi ◽  
M Valla ◽  
R Wang
Keyword(s):  
Bandwidth Estimation ◽  
Improve Efficiency ◽  
Tcp Westwood ◽  
Adaptive Bandwidth

Algorithm of target tracking based on Mean-Shift with adaptive bandwidth of kernel function

2009 ◽  
Vol 29 (6) ◽  
pp. 1680-1682
Author(s):  
Chang-tao CHEN ◽  
Qin ZHU ◽  
Sheng-yi ZHOU ◽  
Jia-ming ZHANG
Keyword(s):  
Target Tracking ◽  
Kernel Function ◽  
Mean Shift ◽  
Adaptive Bandwidth

Precision Motion of Iterative Learning Controller Using Adaptive Filter Bandwidth Tuning by Improved Particle Swarm Optimization Technique

2013 ◽  
Vol 376 ◽  
pp. 349-353
Author(s):  
Yi Cheng Huang ◽  
Shu Ting Li ◽  
Kuan Heng Peng
Keyword(s):  
Particle Swarm Optimization ◽  
Pid Controller ◽  
Iterative Learning ◽  
Swarm Optimization ◽  
Filter Bandwidth ◽  
Improved Particle Swarm Optimization ◽  
Simulation Results ◽  
Adaptive Bandwidth ◽  
Precision Motion ◽  
Zero Phase

This paper utilized the Improved Particle Swarm Optimization (IPSO) technique for adjusting the gains of PID and the bandwidth of zero-phase Butterworth Filter of an Iterative Learning Controller (ILC) for precision motion. Simulation results show that IPSO-ILC-PID controller without adaptive bandwidth filter tuning have the chance of producing high frequencies in the error signals when the filter bandwidth is fixed for every repetition. However the learnable and unlearnable error signals should be separated for bettering control process. Thus the adaptive bandwidth of a zero phase filter in ILC-PID controller with IPSO tuning is applied to one single motion axis of a CNC table machine. Simulation results show that the developed controller can cancel the errors efficiently as repetition goes. The frequency response of the error signals is analyzed by the empirical mode decomposition (EMD) and the Hilbert-Huang Transform (HHT) method. Errors are reduced and validated by ILC with adaptive bandwidth filtering design.

On Adaptive Bandwidth Selection for Efficient MIA

2014 ◽  
pp. 82-97 ◽  
Author(s):  
Mathieu Carbone ◽  
Sébastien Tiran ◽  
Sébastien Ordas ◽  
Michel Agoyan ◽  
Yannick Teglia ◽  
...  
Keyword(s):  
Bandwidth Selection ◽  
Selection For ◽  
Adaptive Bandwidth ◽  
Adaptive Bandwidth Selection
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