ROBUST MULTIPLE MODEL ADAPTIVE CONTROL WITH FUZZY POSTERIOR PROBABILITY COMBINATION

2017 ◽  
Vol 45 (2) ◽  
Author(s):  
Fatemeh Zare-Mirakabad ◽  
Mohammad H. Kazemi
Keyword(s):  
Adaptive Control ◽  
Posterior Probability ◽  
Multiple Model ◽  
Multiple Model Adaptive Control

scholarly journals Congestion Control Based on Multiple Model Adaptive Control

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Xinhao Yang ◽  
Ze Li
Keyword(s):  
Adaptive Control ◽  
Congestion Control ◽  
Output Feedback ◽  
Control Method ◽  
Feedback Controller ◽  
Multiple Model ◽  
Network Condition ◽  
Output Feedback Controller ◽  
Weight Calculation ◽  
Multiple Model Adaptive Control

The congestion controller based on the multiple model adaptive control is designed for the network congestion in TCP/AQM network. As the conventional congestion control is sensitive to the variable network condition, the adaptive control method is adopted in our congestion control. The multiple model adaptive control is introduced in this paper based on the weight calculation instead of the parameter estimation in past adaptive control. The model set is composed by the dynamic model based on the fluid flow. And three “local” congestion controllers are nonlinear output feedback controller based on variable RTT, H2output feedback controller, and proportional-integral controller, respectively. Ns-2 simulation results in section 4 indicate that the proposed algorithm restrains the congestion in variable network condition and maintains a high throughput together with a low packet drop ratio.

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