Overload control using rate control throttle: selecting token bank capacity for robustness to arrival rates

1991 ◽  
Vol 36 (2) ◽  
pp. 216-219 ◽  
Author(s):  
A.W. Berger
Keyword(s):  
Rate Control ◽  
Overload Control ◽  
Token Bank

A Simulated Annealing-Based Overload Control Algorithm to Application Servers in Next Generation Electric Communication Networks

2013 ◽  
Vol 765-767 ◽  
pp. 2637-2640
Author(s):  
Zheng Pang ◽  
Gang Liu ◽  
Wei Zhe Ma ◽  
Fan Bo Meng
Keyword(s):  
Energy Efficiency ◽  
Simulated Annealing ◽  
Communication Networks ◽  
Rate Control ◽  
Control Algorithm ◽  
Simulated Annealing Algorithm ◽  
Optimal Solution ◽  
Next Generation ◽  
Overload Control ◽  
Annealing Algorithm

We study the overload control problem of application server in the next generation electric communication network in this paper. We introduce an energy efficiency overload control algorithm based on simulated annealing. Firstly, by considering the overload control and energy efficiency, we construct the relations function between the input rate control and energy efficiency using rate allocation. Then, we construct the optimal overload control model of energy efficiency by regarding this relation function as objective function and overload control as constraint conditions. Thirdly, we use simulated annealing algorithm to solve this model, and then obtain the optimal solution during the iterative process. The simulation results show that our algorithm is feasible and effective.

Changes of the heart rate control during pupil's examinations

2007 ◽  
Author(s):  
E. S. Gevorkyan ◽  
S. M. Minasyan ◽  
N. N. Ksadjikyan ◽  
A. V. Dayan ◽  
TsI Adamyan
Keyword(s):  
Heart Rate ◽  
Rate Control ◽  
Heart Rate Control

Dry chip feedrate control using online chip moisture

TAPPI Journal ◽  
2018 ◽  
Vol 17 (05) ◽  
pp. 295-305
Author(s):  
Wesley Gilbert ◽  
Ivan Trush ◽  
Bruce Allison ◽  
Randy Reimer ◽  
Howard Mason
Keyword(s):  
Production Rate ◽  
Control Strategy ◽  
Rate Control ◽  
Near Infrared ◽  
Dry Mass ◽  
The Other ◽  
Process Variability ◽  
Moisture Sensor ◽  
Feedback Control Strategy ◽  
And Control

Normal practice in continuous digester operation is to set the production rate through the chip meter speed. This speed is seldom, if ever, adjusted except to change production, and most of the other digester inputs are ratioed to it. The inherent assumption is that constant chip meter speed equates to constant dry mass flow of chips. This is seldom, if ever, true. As a result, the actual production rate, effective alkali (EA)-to-wood and liquor-to-wood ratios may vary substantially from assumed values. This increases process variability and decreases profits. In this report, a new continuous digester production rate control strategy is developed that addresses this shortcoming. A new noncontacting near infrared–based chip moisture sensor is combined with the existing weightometer signal to estimate the actual dry chip mass feedrate entering the digester. The estimated feedrate is then used to implement a novel feedback control strategy that adjusts the chip meter speed to maintain the dry chip feedrate at the target value. The report details the results of applying the new measurements and control strategy to a dual vessel continuous digester.

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